{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Output\Implementation Delay.MANUSCRIPT MODELS.04-18-2025.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}19 Apr 2025, 10:29:31
{txt}
{com}. 
. 
. 
. 
. *** MODELS PREDICTING IMPLEMENTATION DELAY: TIME FROM INITIAL FILING BY CLAIMANT --> PAYMENT TO CLAIMANT [PROPORTION OBSERVED IN TIME RANGE: IN DAYS] ***
. 
. 
. 
. 
. 
. 
. *** RETRIEVE STATISTICAL DATABASE [as of 07-28-2024] ***
. 
. 
. use "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Data\Implementation Delay.STATISTICAL DATABASE.07-28-2024.dta", replace
{txt}
{com}. 
. 
. 
. *** SET DATA TO PANEL STRUCTURE  ***
. 
. xtset stateid monthyear, monthly
{res}
{col 1}{txt:Panel variable: }{res:stateid}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:monthyear}{txt:, }{res:{bind:2002m1}}{txt: to }{res:{bind:2022m9}}{p_end}
{txt}{col 10}Delta: {res}1 month
{txt}
{com}. 
. *
. *
. *
. *
. *
. sum delay_14days, detail

                        {txt}delay_14days
{hline 61}
      Percentiles      Smallest
 1%    {res} .3056225       .0253772
{txt} 5%    {res} .5250561       .1065303
{txt}10%    {res} .6318237       .1108668       {txt}Obs         {res}     12,551
{txt}25%    {res}  .750132       .1122215       {txt}Sum of wgt. {res}     12,551

{txt}50%    {res} .8521115                      {txt}Mean          {res} .8117112
                        {txt}Largest       Std. dev.     {res} .1401911
{txt}75%    {res}  .910112       .9946844
{txt}90%    {res} .9430667       .9948186       {txt}Variance      {res} .0196535
{txt}95%    {res} .9607711       .9965951       {txt}Skewness      {res}-1.621809
{txt}99%    {res} .9833487       .9967533       {txt}Kurtosis      {res} 6.160089
{txt}
{com}. *
. sum delay_14days if itmod_adopt_state==1 & itmod_monthcount>0, detail

                        {txt}delay_14days
{hline 61}
      Percentiles      Smallest
 1%    {res}  .217569       .0253772
{txt} 5%    {res} .3842061       .1065303
{txt}10%    {res} .5102798       .1108668       {txt}Obs         {res}      2,967
{txt}25%    {res}  .707395       .1122215       {txt}Sum of wgt. {res}      2,967

{txt}50%    {res} .8475308                      {txt}Mean          {res} .7813689
                        {txt}Largest       Std. dev.     {res} .1789052
{txt}75%    {res} .9121683       .9915283
{txt}90%    {res} .9426971       .9937962       {txt}Variance      {res} .0320071
{txt}95%    {res} .9568744        .994035       {txt}Skewness      {res}-1.388909
{txt}99%    {res} .9770115       .9965951       {txt}Kurtosis      {res} 4.413695
{txt}
{com}. 
. 
. 
. *** GENERATE PROPORTION MEASURES OF IMPLEMENTATION DELAY FOR FAR BELOW STANDARD PERFORMANCE [EXCESSIVELY LATE: DELAY DAYS >= 29] ***
. *
. *
. *
. gen delay_29plusdays = (intra29_35 + intra36_42 + intra43_49 + intra50_56 + intra57_63 + intra64_70 + eqgreater70_intra) / total
{txt}
{com}. *
. sum delay_29plusdays, detail

                      {txt}delay_29plusdays
{hline 61}
      Percentiles      Smallest
 1%    {res} .0022727              0
{txt} 5%    {res} .0091486              0
{txt}10%    {res} .0162879              0       {txt}Obs         {res}     12,551
{txt}25%    {res} .0303139              0       {txt}Sum of wgt. {res}     12,551

{txt}50%    {res} .0507849                      {txt}Mean          {res} .0840386
                        {txt}Largest       Std. dev.     {res} .1051734
{txt}75%    {res} .0873422       .7957447
{txt}90%    {res} .1860079        .805169       {txt}Variance      {res} .0110614
{txt}95%    {res}  .311272       .8251618       {txt}Skewness      {res} 3.139937
{txt}99%    {res} .5639535       .9581619       {txt}Kurtosis      {res} 14.47555
{txt}
{com}. *
. sum delay_29plusdays if itmod_adopt_state==1 & itmod_monthcount>0, detail

                      {txt}delay_29plusdays
{hline 61}
      Percentiles      Smallest
 1%    {res} .0015601              0
{txt} 5%    {res} .0048249              0
{txt}10%    {res} .0107269              0       {txt}Obs         {res}      2,967
{txt}25%    {res} .0264808              0       {txt}Sum of wgt. {res}      2,967

{txt}50%    {res} .0573062                      {txt}Mean          {res} .1191841
                        {txt}Largest       Std. dev.     {res} .1483446
{txt}75%    {res}  .144306       .7832915
{txt}90%    {res} .3452209       .7899076       {txt}Variance      {res} .0220061
{txt}95%    {res} .4727676       .7957447       {txt}Skewness      {res}  1.99353
{txt}99%    {res} .6505593       .9581619       {txt}Kurtosis      {res} 6.669686
{txt}
{com}. 
. 
. 
. 
. 
. 
. 
. *** COMPUTE WITHIN-STATE DESCRIPTIVE STATISTICS FOR DEPENDENT VARIABLES [FOR PURPOSES OF INTERPRETING OUTCOME MEASURE EFFECTS IN RELATIVE WITHIN-SD TERMS] ***
. 
. egen bdelay_14days = mean(delay_14days), by(stateid)
{txt}
{com}. gen wdelay_14days = delay_14days - bdelay_14days
{txt}
{com}. sum delay_14days wdelay_14days if itmod_adopt_state==1 & itmod_monthcount>0, detail

                        {txt}delay_14days
{hline 61}
      Percentiles      Smallest
 1%    {res}  .217569       .0253772
{txt} 5%    {res} .3842061       .1065303
{txt}10%    {res} .5102798       .1108668       {txt}Obs         {res}      2,967
{txt}25%    {res}  .707395       .1122215       {txt}Sum of wgt. {res}      2,967

{txt}50%    {res} .8475308                      {txt}Mean          {res} .7813689
                        {txt}Largest       Std. dev.     {res} .1789052
{txt}75%    {res} .9121683       .9915283
{txt}90%    {res} .9426971       .9937962       {txt}Variance      {res} .0320071
{txt}95%    {res} .9568744        .994035       {txt}Skewness      {res}-1.388909
{txt}99%    {res} .9770115       .9965951       {txt}Kurtosis      {res} 4.413695

                        {txt}wdelay_14days
{hline 61}
      Percentiles      Smallest
 1%    {res} -.571265      -.7804164
{txt} 5%    {res}-.3929946      -.7515469
{txt}10%    {res}-.2766231      -.7266788       {txt}Obs         {res}      2,967
{txt}25%    {res}-.0988513      -.7266788       {txt}Sum of wgt. {res}      2,967

{txt}50%    {res} .0137416                      {txt}Mean          {res} -.038341
                        {txt}Largest       Std. dev.     {res} .1642987
{txt}75%    {res} .0666751       .2631498
{txt}90%    {res}  .107885        .263773       {txt}Variance      {res}  .026994
{txt}95%    {res} .1323028       .2639768       {txt}Skewness      {res}-1.524673
{txt}99%    {res} .1837042       .2662448       {txt}Kurtosis      {res} 5.225221
{txt}
{com}. *
. *
. egen bdelay_29plusdays = mean(delay_29plusdays), by(stateid)
{txt}
{com}. gen wdelay_29plusdays = delay_29plusdays - bdelay_29plusdays
{txt}
{com}. sum delay_29plusdays  wdelay_29plusdays if itmod_adopt_state==1 & itmod_monthcount>0, detail

                      {txt}delay_29plusdays
{hline 61}
      Percentiles      Smallest
 1%    {res} .0015601              0
{txt} 5%    {res} .0048249              0
{txt}10%    {res} .0107269              0       {txt}Obs         {res}      2,967
{txt}25%    {res} .0264808              0       {txt}Sum of wgt. {res}      2,967

{txt}50%    {res} .0573062                      {txt}Mean          {res} .1191841
                        {txt}Largest       Std. dev.     {res} .1483446
{txt}75%    {res}  .144306       .7832915
{txt}90%    {res} .3452209       .7899076       {txt}Variance      {res} .0220061
{txt}95%    {res} .4727676       .7957447       {txt}Skewness      {res}  1.99353
{txt}99%    {res} .6505593       .9581619       {txt}Kurtosis      {res} 6.669686

                      {txt}wdelay_29plusdays
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1018118      -.1254015
{txt} 5%    {res}-.0793551      -.1231132
{txt}10%    {res}-.0697561      -.1229198       {txt}Obs         {res}      2,967
{txt}25%    {res}-.0455009      -.1222494       {txt}Sum of wgt. {res}      2,967

{txt}50%    {res}-.0166308                      {txt}Mean          {res}  .034837
                        {txt}Largest       Std. dev.     {res} .1399817
{txt}75%    {res} .0517812       .6679097
{txt}90%    {res}   .23813       .6966286       {txt}Variance      {res} .0195949
{txt}95%    {res} .3657427       .6974835       {txt}Skewness      {res} 2.096821
{txt}99%    {res}  .555014       .8705713       {txt}Kurtosis      {res} 7.301669
{txt}
{com}. *
. *
. 
. 
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. ** SAVE MANUSCRIPT DATABASE USED IN IN THIS PROGRAM CODE AND FOR SUPPLEMENTARY ANALYSES **
. 
. 
. save "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Data\Implementation Delay.MANUSCRIPT DATABASE.04-18-2025.dta", replace
{txt}{p 0 4 2}
file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Data\Implementation Delay.MANUSCRIPT DATABASE.04-18-2025.dta{rm}
saved
{p_end}

{com}. 
. 
. 
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. *** TESTING H1 & H2: UNCONDITIONAL ORGANIZATIONAL ADAPTATION [H1] & CONDITIONAL INTER-SECTORAL HYPOTHESES [H2] [PLUS, BASELINE ORGANIZATIONAL LEARNING ESTIMATES] ***
. 
. 
. 
. 
. 
. **** TABLE 1 -- MODELS 1 & 2: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JULY 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
. ***            (MODELS 1-2; FIGURES 1A-1C & 1D-1F)
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. *** ESTIMATE MODEL 1: 14 DAYS OR LESS [DELAY] [MODEL 1 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL:  [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] ***    [FIGURES 2A-2B]
. 
. 
. npregress series delay_14days  itmod_monthcount i.agencyhead_gov0 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year adoptcohort_2002_itadopt  adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)   vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}310{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}320{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}330{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}340{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}350{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}360{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}370{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}380{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}390{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}400{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}410{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}420{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}430{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}440{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}450{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}460{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}470{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}480{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}490{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}500{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}510{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}520{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}530{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}540{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}550{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}560{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}570{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}580{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}590{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}600{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}610{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}620{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}630{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}640{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}650{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}660{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}670{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}680{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}690{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}700{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}710{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}720{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}730{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}740{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}750{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}760{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}770{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}780{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}790{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}800{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}810{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}820{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}830{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}840{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}850{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}860{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}870{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}880{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}890{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}900{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}910{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}920{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}930{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}940{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}950{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}960{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}970{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}980{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}990{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}1,000{text} done
{res}
{txt}Cubic B-spline estimation {col 44}Number of obs      =  {res}        7,386
{txt}Criterion: {res:cross validation}{col 44}Number of knots    =  {res}            1
{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}   Observed{col 38}   Bootstrap{col 66}         Norm{col 79}al-based
{col 1}            delay_14days{col 26}{c |}     effect{col 38}   std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2} .0012592{col 38}{space 2} .0002615{col 49}{space 1}    4.82{col 58}{space 3}0.000{col 66}{space 4} .0007468{col 79}{space 3} .0017717
{txt}{space 7}1.agencyhead_gov0 {c |}{col 26}{res}{space 2}-.0023616{col 38}{space 2} .0032705{col 49}{space 1}   -0.72{col 58}{space 3}0.470{col 66}{space 4}-.0087716{col 79}{space 3} .0040484
{txt}{space 7}agencyhead_tenure {c |}{col 26}{res}{space 2} .0000281{col 38}{space 2} .0000436{col 49}{space 1}    0.64{col 58}{space 3}0.519{col 66}{space 4}-.0000574{col 79}{space 3} .0001135
{txt}{space 10}automationrate {c |}{col 26}{res}{space 2}-.0688122{col 38}{space 2} .0094625{col 49}{space 1}   -7.27{col 58}{space 3}0.000{col 66}{space 4}-.0873584{col 79}{space 3}-.0502661
{txt}{space 13}wstaff_load {c |}{col 26}{res}{space 2} 6.39e-06{col 38}{space 2} 8.34e-07{col 49}{space 1}    7.66{col 58}{space 3}0.000{col 66}{space 4} 4.76e-06{col 79}{space 3} 8.03e-06
{txt}{space 13}staff_tdiff {c |}{col 26}{res}{space 2}-.3049562{col 38}{space 2} .0578702{col 49}{space 1}   -5.27{col 58}{space 3}0.000{col 66}{space 4}-.4183798{col 79}{space 3}-.1915326
{txt}{space 14}unemp_rate {c |}{col 26}{res}{space 2}-.0069145{col 38}{space 2} .0015118{col 49}{space 1}   -4.57{col 58}{space 3}0.000{col 66}{space 4}-.0098777{col 79}{space 3}-.0039513
{txt}{space 1}function_sup_avgsalreal {c |}{col 26}{res}{space 2} 7.47e-07{col 38}{space 2} 2.10e-07{col 49}{space 1}    3.55{col 58}{space 3}0.000{col 66}{space 4} 3.35e-07{col 79}{space 3} 1.16e-06
{txt}{space 24} {c |}
{space 17}stateid {c |}
{space 22}5  {c |}{col 26}{res}{space 2}-.0689714{col 38}{space 2} .0084259{col 49}{space 1}   -8.19{col 58}{space 3}0.000{col 66}{space 4}-.0854859{col 79}{space 3}-.0524569
{txt}{space 22}6  {c |}{col 26}{res}{space 2} .0124724{col 38}{space 2} .0113265{col 49}{space 1}    1.10{col 58}{space 3}0.271{col 66}{space 4}-.0097272{col 79}{space 3}  .034672
{txt}{space 22}9  {c |}{col 26}{res}{space 2} .0041961{col 38}{space 2} .0091934{col 49}{space 1}    0.46{col 58}{space 3}0.648{col 66}{space 4}-.0138227{col 79}{space 3} .0222149
{txt}{space 21}12  {c |}{col 26}{res}{space 2} .1246841{col 38}{space 2} .0108595{col 49}{space 1}   11.48{col 58}{space 3}0.000{col 66}{space 4}    .1034{col 79}{space 3} .1459683
{txt}{space 21}13  {c |}{col 26}{res}{space 2}  .033154{col 38}{space 2} .0083015{col 49}{space 1}    3.99{col 58}{space 3}0.000{col 66}{space 4} .0168834{col 79}{space 3} .0494246
{txt}{space 21}14  {c |}{col 26}{res}{space 2}-.0048893{col 38}{space 2} .0108612{col 49}{space 1}   -0.45{col 58}{space 3}0.653{col 66}{space 4}-.0261769{col 79}{space 3} .0163984
{txt}{space 21}18  {c |}{col 26}{res}{space 2}-.0175516{col 38}{space 2} .0113851{col 49}{space 1}   -1.54{col 58}{space 3}0.123{col 66}{space 4}-.0398659{col 79}{space 3} .0047627
{txt}{space 21}19  {c |}{col 26}{res}{space 2} .0386798{col 38}{space 2}  .009019{col 49}{space 1}    4.29{col 58}{space 3}0.000{col 66}{space 4} .0210029{col 79}{space 3} .0563568
{txt}{space 21}20  {c |}{col 26}{res}{space 2}-.0926343{col 38}{space 2} .0090977{col 49}{space 1}  -10.18{col 58}{space 3}0.000{col 66}{space 4}-.1104654{col 79}{space 3}-.0748032
{txt}{space 21}21  {c |}{col 26}{res}{space 2}-.1240304{col 38}{space 2} .0113479{col 49}{space 1}  -10.93{col 58}{space 3}0.000{col 66}{space 4}-.1462719{col 79}{space 3}-.1017889
{txt}{space 21}22  {c |}{col 26}{res}{space 2}-.1182216{col 38}{space 2} .0092461{col 49}{space 1}  -12.79{col 58}{space 3}0.000{col 66}{space 4}-.1363436{col 79}{space 3}-.1000997
{txt}{space 21}23  {c |}{col 26}{res}{space 2} .0395796{col 38}{space 2} .0090727{col 49}{space 1}    4.36{col 58}{space 3}0.000{col 66}{space 4} .0217974{col 79}{space 3} .0573618
{txt}{space 21}24  {c |}{col 26}{res}{space 2}-.0490449{col 38}{space 2} .0137419{col 49}{space 1}   -3.57{col 58}{space 3}0.000{col 66}{space 4}-.0759786{col 79}{space 3}-.0221112
{txt}{space 21}25  {c |}{col 26}{res}{space 2} .0235285{col 38}{space 2} .0086781{col 49}{space 1}    2.71{col 58}{space 3}0.007{col 66}{space 4} .0065198{col 79}{space 3} .0405373
{txt}{space 21}27  {c |}{col 26}{res}{space 2} .0353427{col 38}{space 2} .0095319{col 49}{space 1}    3.71{col 58}{space 3}0.000{col 66}{space 4} .0166605{col 79}{space 3} .0540248
{txt}{space 21}28  {c |}{col 26}{res}{space 2}-.1002825{col 38}{space 2} .0087813{col 49}{space 1}  -11.42{col 58}{space 3}0.000{col 66}{space 4}-.1174934{col 79}{space 3}-.0830715
{txt}{space 21}29  {c |}{col 26}{res}{space 2}-.1380532{col 38}{space 2} .0145055{col 49}{space 1}   -9.52{col 58}{space 3}0.000{col 66}{space 4}-.1664833{col 79}{space 3} -.109623
{txt}{space 21}31  {c |}{col 26}{res}{space 2} .0768754{col 38}{space 2} .0107001{col 49}{space 1}    7.18{col 58}{space 3}0.000{col 66}{space 4} .0559035{col 79}{space 3} .0978472
{txt}{space 21}33  {c |}{col 26}{res}{space 2}-.0822278{col 38}{space 2} .0098073{col 49}{space 1}   -8.38{col 58}{space 3}0.000{col 66}{space 4}-.1014498{col 79}{space 3}-.0630057
{txt}{space 21}35  {c |}{col 26}{res}{space 2} .0389378{col 38}{space 2} .0088445{col 49}{space 1}    4.40{col 58}{space 3}0.000{col 66}{space 4}  .021603{col 79}{space 3} .0562727
{txt}{space 21}38  {c |}{col 26}{res}{space 2} .0247228{col 38}{space 2} .0083745{col 49}{space 1}    2.95{col 58}{space 3}0.003{col 66}{space 4} .0083091{col 79}{space 3} .0411365
{txt}{space 21}40  {c |}{col 26}{res}{space 2} .0611361{col 38}{space 2} .0100222{col 49}{space 1}    6.10{col 58}{space 3}0.000{col 66}{space 4} .0414929{col 79}{space 3} .0807793
{txt}{space 21}42  {c |}{col 26}{res}{space 2}-.0109092{col 38}{space 2} .0108264{col 49}{space 1}   -1.01{col 58}{space 3}0.314{col 66}{space 4}-.0321286{col 79}{space 3} .0103101
{txt}{space 21}44  {c |}{col 26}{res}{space 2} .1143526{col 38}{space 2} .0076926{col 49}{space 1}   14.87{col 58}{space 3}0.000{col 66}{space 4} .0992754{col 79}{space 3} .1294299
{txt}{space 21}46  {c |}{col 26}{res}{space 2}-.0001932{col 38}{space 2}  .009399{col 49}{space 1}   -0.02{col 58}{space 3}0.984{col 66}{space 4}-.0186148{col 79}{space 3} .0182284
{txt}{space 21}47  {c |}{col 26}{res}{space 2} .0448286{col 38}{space 2} .0083845{col 49}{space 1}    5.35{col 58}{space 3}0.000{col 66}{space 4} .0283952{col 79}{space 3} .0612619
{txt}{space 21}50  {c |}{col 26}{res}{space 2}  .062779{col 38}{space 2} .0149939{col 49}{space 1}    4.19{col 58}{space 3}0.000{col 66}{space 4} .0333914{col 79}{space 3} .0921666
{txt}{space 21}51  {c |}{col 26}{res}{space 2} .0375404{col 38}{space 2} .0099906{col 49}{space 1}    3.76{col 58}{space 3}0.000{col 66}{space 4} .0179593{col 79}{space 3} .0571216
{txt}{space 21}52  {c |}{col 26}{res}{space 2} .0167202{col 38}{space 2} .0090824{col 49}{space 1}    1.84{col 58}{space 3}0.066{col 66}{space 4} -.001081{col 79}{space 3} .0345214
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2} .0281571{col 38}{space 2} .0065999{col 49}{space 1}    4.27{col 58}{space 3}0.000{col 66}{space 4} .0152215{col 79}{space 3} .0410928
{txt}{space 19}2004  {c |}{col 26}{res}{space 2} .0390004{col 38}{space 2} .0065677{col 49}{space 1}    5.94{col 58}{space 3}0.000{col 66}{space 4} .0261279{col 79}{space 3} .0518729
{txt}{space 19}2005  {c |}{col 26}{res}{space 2} .0299054{col 38}{space 2} .0075949{col 49}{space 1}    3.94{col 58}{space 3}0.000{col 66}{space 4} .0150196{col 79}{space 3} .0447911
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .0265402{col 38}{space 2} .0071494{col 49}{space 1}    3.71{col 58}{space 3}0.000{col 66}{space 4} .0125276{col 79}{space 3} .0405529
{txt}{space 19}2007  {c |}{col 26}{res}{space 2} .0336226{col 38}{space 2} .0073161{col 49}{space 1}    4.60{col 58}{space 3}0.000{col 66}{space 4} .0192834{col 79}{space 3} .0479618
{txt}{space 19}2008  {c |}{col 26}{res}{space 2} .0298368{col 38}{space 2} .0073683{col 49}{space 1}    4.05{col 58}{space 3}0.000{col 66}{space 4} .0153952{col 79}{space 3} .0442783
{txt}{space 19}2009  {c |}{col 26}{res}{space 2} .0120849{col 38}{space 2} .0090073{col 49}{space 1}    1.34{col 58}{space 3}0.180{col 66}{space 4}-.0055691{col 79}{space 3} .0297389
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0194834{col 38}{space 2} .0101069{col 49}{space 1}    1.93{col 58}{space 3}0.054{col 66}{space 4}-.0003256{col 79}{space 3} .0392925
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0303617{col 38}{space 2} .0093173{col 49}{space 1}    3.26{col 58}{space 3}0.001{col 66}{space 4} .0121002{col 79}{space 3} .0486232
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}  .007089{col 38}{space 2} .0098122{col 49}{space 1}    0.72{col 58}{space 3}0.470{col 66}{space 4}-.0121426{col 79}{space 3} .0263206
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0094672{col 38}{space 2} .0097511{col 49}{space 1}    0.97{col 58}{space 3}0.332{col 66}{space 4}-.0096446{col 79}{space 3}  .028579
{txt}{space 19}2014  {c |}{col 26}{res}{space 2} .0339915{col 38}{space 2} .0098824{col 49}{space 1}    3.44{col 58}{space 3}0.001{col 66}{space 4} .0146224{col 79}{space 3} .0533606
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0395474{col 38}{space 2} .0096266{col 49}{space 1}    4.11{col 58}{space 3}0.000{col 66}{space 4} .0206797{col 79}{space 3} .0584151
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0470281{col 38}{space 2} .0097989{col 49}{space 1}    4.80{col 58}{space 3}0.000{col 66}{space 4} .0278226{col 79}{space 3} .0662337
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0550782{col 38}{space 2} .0099585{col 49}{space 1}    5.53{col 58}{space 3}0.000{col 66}{space 4} .0355598{col 79}{space 3} .0745965
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0579627{col 38}{space 2} .0106343{col 49}{space 1}    5.45{col 58}{space 3}0.000{col 66}{space 4} .0371197{col 79}{space 3} .0788056
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}  .052161{col 38}{space 2} .0114603{col 49}{space 1}    4.55{col 58}{space 3}0.000{col 66}{space 4} .0296992{col 79}{space 3} .0746228
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.1443002{col 38}{space 2} .0173396{col 49}{space 1}   -8.32{col 58}{space 3}0.000{col 66}{space 4}-.1782851{col 79}{space 3}-.1103153
{txt}{space 19}2021  {c |}{col 26}{res}{space 2}-.2086656{col 38}{space 2} .0157561{col 49}{space 1}  -13.24{col 58}{space 3}0.000{col 66}{space 4}-.2395469{col 79}{space 3}-.1777843
{txt}{space 19}2022  {c |}{col 26}{res}{space 2}-.1593815{col 38}{space 2} .0173132{col 49}{space 1}   -9.21{col 58}{space 3}0.000{col 66}{space 4}-.1933147{col 79}{space 3}-.1254482
{txt}{space 24} {c |}
adoptcohort_2002_itadopt {c |}{col 26}{res}{space 2}-.0907582{col 38}{space 2} .0142925{col 49}{space 1}   -6.35{col 58}{space 3}0.000{col 66}{space 4}-.1187711{col 79}{space 3}-.0627454
{txt}adoptcohort_2004_itadopt {c |}{col 26}{res}{space 2}-.0216142{col 38}{space 2} .0113006{col 49}{space 1}   -1.91{col 58}{space 3}0.056{col 66}{space 4}-.0437629{col 79}{space 3} .0005346
{txt}adoptcohort_2006_itadopt {c |}{col 26}{res}{space 2}-.0402213{col 38}{space 2} .0096304{col 49}{space 1}   -4.18{col 58}{space 3}0.000{col 66}{space 4}-.0590965{col 79}{space 3} -.021346
{txt}adoptcohort_2007_itadopt {c |}{col 26}{res}{space 2}-.0248706{col 38}{space 2} .0095264{col 49}{space 1}   -2.61{col 58}{space 3}0.009{col 66}{space 4}-.0435421{col 79}{space 3}-.0061991
{txt}adoptcohort_2009_itadopt {c |}{col 26}{res}{space 2} .0865646{col 38}{space 2} .0139077{col 49}{space 1}    6.22{col 58}{space 3}0.000{col 66}{space 4}  .059306{col 79}{space 3} .1138231
{txt}adoptcohort_2010_itadopt {c |}{col 26}{res}{space 2}-.0465317{col 38}{space 2} .0103517{col 49}{space 1}   -4.50{col 58}{space 3}0.000{col 66}{space 4}-.0668207{col 79}{space 3}-.0262426
{txt}adoptcohort_2013_itadopt {c |}{col 26}{res}{space 2}-.0495705{col 38}{space 2}  .009414{col 49}{space 1}   -5.27{col 58}{space 3}0.000{col 66}{space 4}-.0680217{col 79}{space 3}-.0311194
{txt}adoptcohort_2014_itadopt {c |}{col 26}{res}{space 2}-.0642816{col 38}{space 2} .0164181{col 49}{space 1}   -3.92{col 58}{space 3}0.000{col 66}{space 4}-.0964605{col 79}{space 3}-.0321028
{txt}adoptcohort_2015_itadopt {c |}{col 26}{res}{space 2}-.0231462{col 38}{space 2}  .011782{col 49}{space 1}   -1.96{col 58}{space 3}0.049{col 66}{space 4}-.0462384{col 79}{space 3} -.000054
{txt}adoptcohort_2016_itadopt {c |}{col 26}{res}{space 2}-.0615068{col 38}{space 2} .0178079{col 49}{space 1}   -3.45{col 58}{space 3}0.001{col 66}{space 4}-.0964097{col 79}{space 3}-.0266039
{txt}adoptcohort_2017_itadopt {c |}{col 26}{res}{space 2}-.0988871{col 38}{space 2} .0135177{col 49}{space 1}   -7.32{col 58}{space 3}0.000{col 66}{space 4}-.1253812{col 79}{space 3}-.0723929
{txt}adoptcohort_2018_itadopt {c |}{col 26}{res}{space 2} .0425063{col 38}{space 2}  .022334{col 49}{space 1}    1.90{col 58}{space 3}0.057{col 66}{space 4}-.0012675{col 79}{space 3} .0862801
{txt}adoptcohort_2020_itadopt {c |}{col 26}{res}{space 2}-.1565119{col 38}{space 2} .0268897{col 49}{space 1}   -5.82{col 58}{space 3}0.000{col 66}{space 4}-.2092147{col 79}{space 3}-.1038091
{txt}adoptcohort_2021_itadopt {c |}{col 26}{res}{space 2}-.2213113{col 38}{space 2} .0640343{col 49}{space 1}   -3.46{col 58}{space 3}0.001{col 66}{space 4}-.3468162{col 79}{space 3}-.0958064
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. 
. * [MODEL 2] FIGURE 2A:  E(Y) [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:7,386}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7946181{col 26}{space 2} .0033879{col 37}{space 1}  234.54{col 46}{space 3}0.000{col 54}{space 4} .7879779{col 67}{space 3} .8012583
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7963879{col 26}{space 2} .0031124{col 37}{space 1}  255.87{col 46}{space 3}0.000{col 54}{space 4} .7902876{col 67}{space 3} .8024881
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .804679{col 26}{space 2} .0021323{col 37}{space 1}  377.38{col 46}{space 3}0.000{col 54}{space 4} .8004999{col 67}{space 3} .8088582
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .8134521{col 26}{space 2} .0021562{col 37}{space 1}  377.26{col 46}{space 3}0.000{col 54}{space 4}  .809226{col 67}{space 3} .8176781
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .8210199{col 26}{space 2} .0029874{col 37}{space 1}  274.82{col 46}{space 3}0.000{col 54}{space 4} .8151647{col 67}{space 3} .8268752
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .8274654{col 26}{space 2} .0039067{col 37}{space 1}  211.80{col 46}{space 3}0.000{col 54}{space 4} .8198083{col 67}{space 3} .8351225
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .8328712{col 26}{space 2} .0047095{col 37}{space 1}  176.85{col 46}{space 3}0.000{col 54}{space 4} .8236407{col 67}{space 3} .8421016
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .8373199{col 26}{space 2} .0053578{col 37}{space 1}  156.28{col 46}{space 3}0.000{col 54}{space 4} .8268188{col 67}{space 3} .8478211
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .8408944{col 26}{space 2} .0058555{col 37}{space 1}  143.61{col 46}{space 3}0.000{col 54}{space 4} .8294179{col 67}{space 3}  .852371
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .8436774{col 26}{space 2} .0062194{col 37}{space 1}  135.65{col 46}{space 3}0.000{col 54}{space 4} .8314876{col 67}{space 3} .8558672
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .8457516{col 26}{space 2} .0064719{col 37}{space 1}  130.68{col 46}{space 3}0.000{col 54}{space 4} .8330669{col 67}{space 3} .8584362
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .8471997{col 26}{space 2} .0066375{col 37}{space 1}  127.64{col 46}{space 3}0.000{col 54}{space 4} .8341904{col 67}{space 3} .8602089
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> legend(on order(1 "Unconditional Adaptation") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 2A{c )-}""{c -(}bf:Unconditional Adaptation Estimates{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 1]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 1.FIGURE 2A.04-18-2025.gph", replace
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 1.FIGURE 2A.04-18-2025.gph} saved

{com}. 
. 
. 
. ***********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * [MODEL 1] FIGURE 2B: First-Difference Marginal Effect AGENCYHEAD_GOV0==1 - AGENCYHEAD_GOV0==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. *** ON THE IMPORTANCE OF GOVERNMENT EXPERIENCE [ANY TYPE: POLITICAL/ADMINISTRATIVE/AGENCY-SPECIFIC] ***
. 
. margins r.agencyhead_gov0, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:7,386}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 20}{c TT}{hline 11}{hline 12}{hline 11}
{col 21}{text}{c |}         df{col 33}        chi2{col 45}     P>chi2
{res}{col 1}{text}{hline 20}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_gov0@_at {c |}
{space 7}(1 vs 0)  1  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    17.98{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0)  2  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    16.94{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0)  3  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     6.08{col 45}{space 2}   0.0137
{txt}{space 7}(1 vs 0)  4  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     1.35{col 45}{space 2}   0.2451
{txt}{space 7}(1 vs 0)  5  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.43{col 45}{space 2}   0.5120
{txt}{space 7}(1 vs 0)  6  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.22{col 45}{space 2}   0.6393
{txt}{space 7}(1 vs 0)  7  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.19{col 45}{space 2}   0.6638
{txt}{space 7}(1 vs 0)  8  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.24{col 45}{space 2}   0.6230
{txt}{space 7}(1 vs 0)  9  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.37{col 45}{space 2}   0.5418
{txt}{space 7}(1 vs 0) 10  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.59{col 45}{space 2}   0.4414
{txt}{space 7}(1 vs 0) 11  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.90{col 45}{space 2}   0.3441
{txt}{space 7}(1 vs 0) 12  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     1.22{col 45}{space 2}   0.2696
{col 1}{text}             Joint {col 21}{c |}{result}  (not testable)
{col 1}{text}{hline 20}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}   Contrast{col 33}   std. err.{col 45}     [95% con{col 58}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_gov0@_at {c |}
{space 7}(1 vs 0)  1  {c |}{col 21}{res}{space 2} .0134638{col 33}{space 2} .0031756{col 44}{space 5} .0072398{col 58}{space 3} .0196879
{txt}{space 7}(1 vs 0)  2  {c |}{col 21}{res}{space 2} .0126506{col 33}{space 2} .0030737{col 44}{space 5} .0066263{col 58}{space 3} .0186749
{txt}{space 7}(1 vs 0)  3  {c |}{col 21}{res}{space 2} .0091893{col 33}{space 2} .0037264{col 44}{space 5} .0018856{col 58}{space 3}  .016493
{txt}{space 7}(1 vs 0)  4  {c |}{col 21}{res}{space 2} .0062566{col 33}{space 2} .0053831{col 44}{space 5}-.0042942{col 58}{space 3} .0168073
{txt}{space 7}(1 vs 0)  5  {c |}{col 21}{res}{space 2} .0044852{col 33}{space 2} .0068395{col 44}{space 5}  -.00892{col 58}{space 3} .0178904
{txt}{space 7}(1 vs 0)  6  {c |}{col 21}{res}{space 2} .0036947{col 33}{space 2} .0078835{col 44}{space 5}-.0117566{col 58}{space 3}  .019146
{txt}{space 7}(1 vs 0)  7  {c |}{col 21}{res}{space 2} .0037047{col 33}{space 2} .0085224{col 44}{space 5}-.0129989{col 58}{space 3} .0204082
{txt}{space 7}(1 vs 0)  8  {c |}{col 21}{res}{space 2} .0043345{col 33}{space 2} .0088181{col 44}{space 5}-.0129487{col 58}{space 3} .0216178
{txt}{space 7}(1 vs 0)  9  {c |}{col 21}{res}{space 2} .0054039{col 33}{space 2} .0088575{col 44}{space 5}-.0119565{col 58}{space 3} .0227643
{txt}{space 7}(1 vs 0) 10  {c |}{col 21}{res}{space 2} .0067322{col 33}{space 2} .0087456{col 44}{space 5}-.0104089{col 58}{space 3} .0238734
{txt}{space 7}(1 vs 0) 11  {c |}{col 21}{res}{space 2} .0081391{col 33}{space 2} .0086029{col 44}{space 5}-.0087222{col 58}{space 3} .0250004
{txt}{space 7}(1 vs 0) 12  {c |}{col 21}{res}{space 2}  .009444{col 33}{space 2}  .008555{col 44}{space 5}-.0073234{col 58}{space 3} .0262115
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Government - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 2B{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Government - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit{c )-}" "{c -(}bf:[MODEL 1]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 1.FIGURE 2B.04-18-2025.gph", replace
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 1.FIGURE 2B.04-18-2025.gph} saved

{com}. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. *** MODEL 2: 28 DAYS OR MORE [DELAY] [MODEL 2 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] ***      [FIGURES 2C-2D]
. 
. 
. npregress series delay_29plusdays  itmod_monthcount i.agencyhead_gov0 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year adoptcohort_2002_itadopt  adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)   vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}310{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}320{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}330{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}340{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}350{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}360{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}370{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}380{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}390{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}400{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}410{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}420{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}430{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}440{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}450{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}460{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}470{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}480{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}490{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}500{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}510{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}520{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}530{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}540{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}550{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}560{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}570{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}580{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}590{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}600{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}610{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}620{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}630{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}640{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}650{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}660{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}670{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}680{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}690{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}700{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}710{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}720{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}730{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}740{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}750{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}760{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}770{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}780{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}790{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}800{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}810{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}820{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}830{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}840{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}850{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}860{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}870{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}880{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}890{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}900{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}910{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}920{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}930{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}940{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}950{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}960{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}970{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}980{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}990{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}1,000{text} done
{res}
{txt}Cubic B-spline estimation {col 44}Number of obs      =  {res}        7,386
{txt}Criterion: {res:cross validation}{col 44}Number of knots    =  {res}            1
{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}   Observed{col 38}   Bootstrap{col 66}         Norm{col 79}al-based
{col 1}        delay_29plusdays{col 26}{c |}     effect{col 38}   std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2}-.0006993{col 38}{space 2} .0002161{col 49}{space 1}   -3.24{col 58}{space 3}0.001{col 66}{space 4} -.001123{col 79}{space 3}-.0002757
{txt}{space 7}1.agencyhead_gov0 {c |}{col 26}{res}{space 2} .0040461{col 38}{space 2} .0026352{col 49}{space 1}    1.54{col 58}{space 3}0.125{col 66}{space 4}-.0011189{col 79}{space 3} .0092111
{txt}{space 7}agencyhead_tenure {c |}{col 26}{res}{space 2}-.0000711{col 38}{space 2} .0000336{col 49}{space 1}   -2.12{col 58}{space 3}0.034{col 66}{space 4} -.000137{col 79}{space 3}-5.28e-06
{txt}{space 10}automationrate {c |}{col 26}{res}{space 2} .0344838{col 38}{space 2} .0078335{col 49}{space 1}    4.40{col 58}{space 3}0.000{col 66}{space 4} .0191304{col 79}{space 3} .0498373
{txt}{space 13}wstaff_load {c |}{col 26}{res}{space 2}-6.73e-06{col 38}{space 2} 7.05e-07{col 49}{space 1}   -9.54{col 58}{space 3}0.000{col 66}{space 4}-8.11e-06{col 79}{space 3}-5.34e-06
{txt}{space 13}staff_tdiff {c |}{col 26}{res}{space 2} .1544798{col 38}{space 2} .0385703{col 49}{space 1}    4.01{col 58}{space 3}0.000{col 66}{space 4} .0788834{col 79}{space 3} .2300761
{txt}{space 14}unemp_rate {c |}{col 26}{res}{space 2} .0073616{col 38}{space 2} .0014126{col 49}{space 1}    5.21{col 58}{space 3}0.000{col 66}{space 4} .0045929{col 79}{space 3} .0101303
{txt}{space 1}function_sup_avgsalreal {c |}{col 26}{res}{space 2}-3.31e-07{col 38}{space 2} 1.87e-07{col 49}{space 1}   -1.77{col 58}{space 3}0.076{col 66}{space 4}-6.97e-07{col 79}{space 3} 3.52e-08
{txt}{space 24} {c |}
{space 17}stateid {c |}
{space 22}5  {c |}{col 26}{res}{space 2} .0313985{col 38}{space 2} .0061183{col 49}{space 1}    5.13{col 58}{space 3}0.000{col 66}{space 4} .0194069{col 79}{space 3} .0433902
{txt}{space 22}6  {c |}{col 26}{res}{space 2}  .020647{col 38}{space 2} .0088077{col 49}{space 1}    2.34{col 58}{space 3}0.019{col 66}{space 4} .0033842{col 79}{space 3} .0379098
{txt}{space 22}9  {c |}{col 26}{res}{space 2} .0342906{col 38}{space 2} .0067505{col 49}{space 1}    5.08{col 58}{space 3}0.000{col 66}{space 4} .0210598{col 79}{space 3} .0475213
{txt}{space 21}12  {c |}{col 26}{res}{space 2}-.0230829{col 38}{space 2} .0078064{col 49}{space 1}   -2.96{col 58}{space 3}0.003{col 66}{space 4}-.0383831{col 79}{space 3}-.0077826
{txt}{space 21}13  {c |}{col 26}{res}{space 2}  .009484{col 38}{space 2} .0056057{col 49}{space 1}    1.69{col 58}{space 3}0.091{col 66}{space 4}-.0015029{col 79}{space 3}  .020471
{txt}{space 21}14  {c |}{col 26}{res}{space 2} .0426097{col 38}{space 2} .0081755{col 49}{space 1}    5.21{col 58}{space 3}0.000{col 66}{space 4}  .026586{col 79}{space 3} .0586334
{txt}{space 21}18  {c |}{col 26}{res}{space 2} .0645244{col 38}{space 2} .0083498{col 49}{space 1}    7.73{col 58}{space 3}0.000{col 66}{space 4} .0481591{col 79}{space 3} .0808897
{txt}{space 21}19  {c |}{col 26}{res}{space 2} -.001845{col 38}{space 2} .0060842{col 49}{space 1}   -0.30{col 58}{space 3}0.762{col 66}{space 4}-.0137697{col 79}{space 3} .0100797
{txt}{space 21}20  {c |}{col 26}{res}{space 2} .0333018{col 38}{space 2} .0069572{col 49}{space 1}    4.79{col 58}{space 3}0.000{col 66}{space 4} .0196659{col 79}{space 3} .0469377
{txt}{space 21}21  {c |}{col 26}{res}{space 2} .0991334{col 38}{space 2} .0077766{col 49}{space 1}   12.75{col 58}{space 3}0.000{col 66}{space 4} .0838916{col 79}{space 3} .1143751
{txt}{space 21}22  {c |}{col 26}{res}{space 2} .0600078{col 38}{space 2} .0065555{col 49}{space 1}    9.15{col 58}{space 3}0.000{col 66}{space 4} .0471593{col 79}{space 3} .0728563
{txt}{space 21}23  {c |}{col 26}{res}{space 2}  .009252{col 38}{space 2} .0059618{col 49}{space 1}    1.55{col 58}{space 3}0.121{col 66}{space 4}-.0024329{col 79}{space 3} .0209369
{txt}{space 21}24  {c |}{col 26}{res}{space 2}  .056211{col 38}{space 2} .0083379{col 49}{space 1}    6.74{col 58}{space 3}0.000{col 66}{space 4} .0398691{col 79}{space 3}  .072553
{txt}{space 21}25  {c |}{col 26}{res}{space 2} .0068085{col 38}{space 2} .0060388{col 49}{space 1}    1.13{col 58}{space 3}0.260{col 66}{space 4}-.0050274{col 79}{space 3} .0186444
{txt}{space 21}27  {c |}{col 26}{res}{space 2} .0235349{col 38}{space 2}  .006184{col 49}{space 1}    3.81{col 58}{space 3}0.000{col 66}{space 4} .0114145{col 79}{space 3} .0356554
{txt}{space 21}28  {c |}{col 26}{res}{space 2} .0515571{col 38}{space 2} .0064773{col 49}{space 1}    7.96{col 58}{space 3}0.000{col 66}{space 4} .0388619{col 79}{space 3} .0642523
{txt}{space 21}29  {c |}{col 26}{res}{space 2} .0801556{col 38}{space 2} .0111636{col 49}{space 1}    7.18{col 58}{space 3}0.000{col 66}{space 4} .0582754{col 79}{space 3} .1020359
{txt}{space 21}31  {c |}{col 26}{res}{space 2} .0011087{col 38}{space 2} .0072575{col 49}{space 1}    0.15{col 58}{space 3}0.879{col 66}{space 4}-.0131157{col 79}{space 3} .0153331
{txt}{space 21}33  {c |}{col 26}{res}{space 2}  .082595{col 38}{space 2} .0065133{col 49}{space 1}   12.68{col 58}{space 3}0.000{col 66}{space 4} .0698292{col 79}{space 3} .0953609
{txt}{space 21}35  {c |}{col 26}{res}{space 2} .0066076{col 38}{space 2} .0049131{col 49}{space 1}    1.34{col 58}{space 3}0.179{col 66}{space 4}-.0030219{col 79}{space 3} .0162372
{txt}{space 21}38  {c |}{col 26}{res}{space 2} .0276358{col 38}{space 2} .0057992{col 49}{space 1}    4.77{col 58}{space 3}0.000{col 66}{space 4} .0162696{col 79}{space 3}  .039002
{txt}{space 21}40  {c |}{col 26}{res}{space 2} .0014142{col 38}{space 2} .0072165{col 49}{space 1}    0.20{col 58}{space 3}0.845{col 66}{space 4}-.0127297{col 79}{space 3} .0155582
{txt}{space 21}42  {c |}{col 26}{res}{space 2} .0554476{col 38}{space 2} .0080623{col 49}{space 1}    6.88{col 58}{space 3}0.000{col 66}{space 4} .0396457{col 79}{space 3} .0712495
{txt}{space 21}44  {c |}{col 26}{res}{space 2}-.0210974{col 38}{space 2} .0049297{col 49}{space 1}   -4.28{col 58}{space 3}0.000{col 66}{space 4}-.0307594{col 79}{space 3}-.0114354
{txt}{space 21}46  {c |}{col 26}{res}{space 2} .0238978{col 38}{space 2} .0068975{col 49}{space 1}    3.46{col 58}{space 3}0.001{col 66}{space 4} .0103789{col 79}{space 3} .0374167
{txt}{space 21}47  {c |}{col 26}{res}{space 2} .0085661{col 38}{space 2} .0055736{col 49}{space 1}    1.54{col 58}{space 3}0.124{col 66}{space 4} -.002358{col 79}{space 3} .0194902
{txt}{space 21}50  {c |}{col 26}{res}{space 2}-.0325549{col 38}{space 2} .0102919{col 49}{space 1}   -3.16{col 58}{space 3}0.002{col 66}{space 4}-.0527267{col 79}{space 3}-.0123832
{txt}{space 21}51  {c |}{col 26}{res}{space 2} .0195643{col 38}{space 2} .0071045{col 49}{space 1}    2.75{col 58}{space 3}0.006{col 66}{space 4} .0056397{col 79}{space 3} .0334889
{txt}{space 21}52  {c |}{col 26}{res}{space 2} .0262243{col 38}{space 2} .0060023{col 49}{space 1}    4.37{col 58}{space 3}0.000{col 66}{space 4} .0144601{col 79}{space 3} .0379885
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2}-.0192406{col 38}{space 2} .0039673{col 49}{space 1}   -4.85{col 58}{space 3}0.000{col 66}{space 4}-.0270163{col 79}{space 3}-.0114649
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.0214496{col 38}{space 2}  .003949{col 49}{space 1}   -5.43{col 58}{space 3}0.000{col 66}{space 4}-.0291896{col 79}{space 3}-.0137096
{txt}{space 19}2005  {c |}{col 26}{res}{space 2}-.0171771{col 38}{space 2} .0047569{col 49}{space 1}   -3.61{col 58}{space 3}0.000{col 66}{space 4}-.0265004{col 79}{space 3}-.0078539
{txt}{space 19}2006  {c |}{col 26}{res}{space 2}-.0109345{col 38}{space 2} .0046373{col 49}{space 1}   -2.36{col 58}{space 3}0.018{col 66}{space 4}-.0200234{col 79}{space 3}-.0018456
{txt}{space 19}2007  {c |}{col 26}{res}{space 2}-.0147302{col 38}{space 2} .0049384{col 49}{space 1}   -2.98{col 58}{space 3}0.003{col 66}{space 4}-.0244092{col 79}{space 3}-.0050512
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.0146846{col 38}{space 2} .0050108{col 49}{space 1}   -2.93{col 58}{space 3}0.003{col 66}{space 4}-.0245056{col 79}{space 3}-.0048636
{txt}{space 19}2009  {c |}{col 26}{res}{space 2}-.0134756{col 38}{space 2} .0068995{col 49}{space 1}   -1.95{col 58}{space 3}0.051{col 66}{space 4}-.0269983{col 79}{space 3} .0000471
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0125309{col 38}{space 2} .0078621{col 49}{space 1}   -1.59{col 58}{space 3}0.111{col 66}{space 4}-.0279404{col 79}{space 3} .0028786
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0242224{col 38}{space 2} .0068706{col 49}{space 1}   -3.53{col 58}{space 3}0.000{col 66}{space 4}-.0376886{col 79}{space 3}-.0107563
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0045706{col 38}{space 2}  .007146{col 49}{space 1}   -0.64{col 58}{space 3}0.522{col 66}{space 4}-.0185765{col 79}{space 3} .0094352
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0067607{col 38}{space 2} .0071045{col 49}{space 1}   -0.95{col 58}{space 3}0.341{col 66}{space 4}-.0206853{col 79}{space 3}  .007164
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.0144056{col 38}{space 2} .0074098{col 49}{space 1}   -1.94{col 58}{space 3}0.052{col 66}{space 4}-.0289285{col 79}{space 3} .0001173
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0228402{col 38}{space 2} .0069181{col 49}{space 1}   -3.30{col 58}{space 3}0.001{col 66}{space 4}-.0363995{col 79}{space 3}-.0092809
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0206201{col 38}{space 2}  .007308{col 49}{space 1}   -2.82{col 58}{space 3}0.005{col 66}{space 4}-.0349435{col 79}{space 3}-.0062967
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0286721{col 38}{space 2} .0076984{col 49}{space 1}   -3.72{col 58}{space 3}0.000{col 66}{space 4}-.0437607{col 79}{space 3}-.0135835
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0279286{col 38}{space 2}  .008529{col 49}{space 1}   -3.27{col 58}{space 3}0.001{col 66}{space 4}-.0446452{col 79}{space 3} -.011212
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0252606{col 38}{space 2} .0092579{col 49}{space 1}   -2.73{col 58}{space 3}0.006{col 66}{space 4}-.0434058{col 79}{space 3}-.0071155
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1429206{col 38}{space 2} .0151714{col 49}{space 1}    9.42{col 58}{space 3}0.000{col 66}{space 4} .1131851{col 79}{space 3}  .172656
{txt}{space 19}2021  {c |}{col 26}{res}{space 2} .1975829{col 38}{space 2} .0140668{col 49}{space 1}   14.05{col 58}{space 3}0.000{col 66}{space 4} .1700125{col 79}{space 3} .2251533
{txt}{space 19}2022  {c |}{col 26}{res}{space 2} .1693547{col 38}{space 2} .0158441{col 49}{space 1}   10.69{col 58}{space 3}0.000{col 66}{space 4} .1383008{col 79}{space 3} .2004086
{txt}{space 24} {c |}
adoptcohort_2002_itadopt {c |}{col 26}{res}{space 2} .0518524{col 38}{space 2} .0101669{col 49}{space 1}    5.10{col 58}{space 3}0.000{col 66}{space 4} .0319256{col 79}{space 3} .0717792
{txt}adoptcohort_2004_itadopt {c |}{col 26}{res}{space 2} .0067205{col 38}{space 2}  .007796{col 49}{space 1}    0.86{col 58}{space 3}0.389{col 66}{space 4}-.0085593{col 79}{space 3} .0220003
{txt}adoptcohort_2006_itadopt {c |}{col 26}{res}{space 2} .0133518{col 38}{space 2} .0079137{col 49}{space 1}    1.69{col 58}{space 3}0.092{col 66}{space 4}-.0021588{col 79}{space 3} .0288623
{txt}adoptcohort_2007_itadopt {c |}{col 26}{res}{space 2} .0002498{col 38}{space 2} .0071359{col 49}{space 1}    0.04{col 58}{space 3}0.972{col 66}{space 4}-.0137363{col 79}{space 3}  .014236
{txt}adoptcohort_2009_itadopt {c |}{col 26}{res}{space 2}-.0265227{col 38}{space 2} .0102874{col 49}{space 1}   -2.58{col 58}{space 3}0.010{col 66}{space 4}-.0466857{col 79}{space 3}-.0063597
{txt}adoptcohort_2010_itadopt {c |}{col 26}{res}{space 2} .0074925{col 38}{space 2} .0084424{col 49}{space 1}    0.89{col 58}{space 3}0.375{col 66}{space 4}-.0090543{col 79}{space 3} .0240394
{txt}adoptcohort_2013_itadopt {c |}{col 26}{res}{space 2} .0390769{col 38}{space 2} .0074554{col 49}{space 1}    5.24{col 58}{space 3}0.000{col 66}{space 4} .0244646{col 79}{space 3} .0536893
{txt}adoptcohort_2014_itadopt {c |}{col 26}{res}{space 2} .0367894{col 38}{space 2} .0135576{col 49}{space 1}    2.71{col 58}{space 3}0.007{col 66}{space 4}  .010217{col 79}{space 3} .0633618
{txt}adoptcohort_2015_itadopt {c |}{col 26}{res}{space 2}-.0145678{col 38}{space 2} .0088678{col 49}{space 1}   -1.64{col 58}{space 3}0.100{col 66}{space 4}-.0319485{col 79}{space 3} .0028128
{txt}adoptcohort_2016_itadopt {c |}{col 26}{res}{space 2} .0537049{col 38}{space 2} .0148907{col 49}{space 1}    3.61{col 58}{space 3}0.000{col 66}{space 4} .0245196{col 79}{space 3} .0828902
{txt}adoptcohort_2017_itadopt {c |}{col 26}{res}{space 2} .0610058{col 38}{space 2}  .010925{col 49}{space 1}    5.58{col 58}{space 3}0.000{col 66}{space 4} .0395932{col 79}{space 3} .0824184
{txt}adoptcohort_2018_itadopt {c |}{col 26}{res}{space 2}-.0338978{col 38}{space 2} .0164309{col 49}{space 1}   -2.06{col 58}{space 3}0.039{col 66}{space 4}-.0661018{col 79}{space 3}-.0016938
{txt}adoptcohort_2020_itadopt {c |}{col 26}{res}{space 2}  .198717{col 38}{space 2} .0258087{col 49}{space 1}    7.70{col 58}{space 3}0.000{col 66}{space 4} .1481329{col 79}{space 3} .2493012
{txt}adoptcohort_2021_itadopt {c |}{col 26}{res}{space 2} .2240879{col 38}{space 2} .0623118{col 49}{space 1}    3.60{col 58}{space 3}0.000{col 66}{space 4}  .101959{col 79}{space 3} .3462169
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. *
. 
. 
. * [MODEL 2] FIGURE 2C: E(Y) [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:7,386}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0991854{col 26}{space 2} .0027564{col 37}{space 1}   35.98{col 46}{space 3}0.000{col 54}{space 4}  .093783{col 67}{space 3} .1045877
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0982422{col 26}{space 2} .0025312{col 37}{space 1}   38.81{col 46}{space 3}0.000{col 54}{space 4} .0932811{col 67}{space 3} .1032034
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0938265{col 26}{space 2} .0017457{col 37}{space 1}   53.75{col 46}{space 3}0.000{col 54}{space 4}  .090405{col 67}{space 3}  .097248
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0891557{col 26}{space 2} .0017981{col 37}{space 1}   49.58{col 46}{space 3}0.000{col 54}{space 4} .0856315{col 67}{space 3} .0926799
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0851202{col 26}{space 2} .0024825{col 37}{space 1}   34.29{col 46}{space 3}0.000{col 54}{space 4} .0802545{col 67}{space 3} .0899859
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0816671{col 26}{space 2} .0032232{col 37}{space 1}   25.34{col 46}{space 3}0.000{col 54}{space 4} .0753497{col 67}{space 3} .0879844
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0787436{col 26}{space 2} .0038618{col 37}{space 1}   20.39{col 46}{space 3}0.000{col 54}{space 4} .0711747{col 67}{space 3} .0863126
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0762971{col 26}{space 2} .0043709{col 37}{space 1}   17.46{col 46}{space 3}0.000{col 54}{space 4} .0677302{col 67}{space 3}  .084864
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0742747{col 26}{space 2} .0047564{col 37}{space 1}   15.62{col 46}{space 3}0.000{col 54}{space 4} .0649522{col 67}{space 3} .0835972
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0726236{col 26}{space 2} .0050347{col 37}{space 1}   14.42{col 46}{space 3}0.000{col 54}{space 4} .0627557{col 67}{space 3} .0824915
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  .071291{col 26}{space 2} .0052266{col 37}{space 1}   13.64{col 46}{space 3}0.000{col 54}{space 4}  .061047{col 67}{space 3}  .081535
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0702242{col 26}{space 2} .0053549{col 37}{space 1}   13.11{col 46}{space 3}0.000{col 54}{space 4} .0597289{col 67}{space 3} .0807195
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> legend(on order(1 "Unconditional Adaptation") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 2C{c )-}""{c -(}bf: Unconditional Adaptation Estimates{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 2]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 2.FIGURE 2C.04-18-2025.gph", replace
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 2.FIGURE 2C.04-18-2025.gph} saved

{com}. 
. 
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. *  [MODEL 2] FIGURE 2D: First-Difference Marginal Effect AGENCYHEAD_GOV0==1 - AGENCYHEAD_GOV0==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. *** ON THE IMPORTANCE OF GOVERNMENT EXPERIENCE [ANY TYPE: POLITICAL/ADMINISTRATIVE/AGENCY-SPECIFIC] ***
. 
. margins r.agencyhead_gov0, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:7,386}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 20}{c TT}{hline 11}{hline 12}{hline 11}
{col 21}{text}{c |}         df{col 33}        chi2{col 45}     P>chi2
{res}{col 1}{text}{hline 20}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_gov0@_at {c |}
{space 7}(1 vs 0)  1  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    16.96{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0)  2  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    16.12{col 45}{space 2}   0.0001
{txt}{space 7}(1 vs 0)  3  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     5.01{col 45}{space 2}   0.0253
{txt}{space 7}(1 vs 0)  4  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     1.43{col 45}{space 2}   0.2326
{txt}{space 7}(1 vs 0)  5  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.72{col 45}{space 2}   0.3957
{txt}{space 7}(1 vs 0)  6  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.56{col 45}{space 2}   0.4542
{txt}{space 7}(1 vs 0)  7  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.58{col 45}{space 2}   0.4460
{txt}{space 7}(1 vs 0)  8  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.71{col 45}{space 2}   0.3993
{txt}{space 7}(1 vs 0)  9  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.93{col 45}{space 2}   0.3344
{txt}{space 7}(1 vs 0) 10  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     1.22{col 45}{space 2}   0.2687
{txt}{space 7}(1 vs 0) 11  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     1.52{col 45}{space 2}   0.2175
{txt}{space 7}(1 vs 0) 12  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     1.71{col 45}{space 2}   0.1915
{col 1}{text}             Joint {col 21}{c |}{result}  (not testable)
{col 1}{text}{hline 20}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}   Contrast{col 33}   std. err.{col 45}     [95% con{col 58}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_gov0@_at {c |}
{space 7}(1 vs 0)  1  {c |}{col 21}{res}{space 2}-.0086159{col 33}{space 2}  .002092{col 44}{space 5}-.0127162{col 58}{space 3}-.0045156
{txt}{space 7}(1 vs 0)  2  {c |}{col 21}{res}{space 2}-.0082268{col 33}{space 2} .0020487{col 44}{space 5}-.0122422{col 58}{space 3}-.0042114
{txt}{space 7}(1 vs 0)  3  {c |}{col 21}{res}{space 2}-.0066527{col 33}{space 2} .0029734{col 44}{space 5}-.0124804{col 58}{space 3} -.000825
{txt}{space 7}(1 vs 0)  4  {c |}{col 21}{res}{space 2}-.0055004{col 33}{space 2} .0046074{col 44}{space 5}-.0145308{col 58}{space 3}   .00353
{txt}{space 7}(1 vs 0)  5  {c |}{col 21}{res}{space 2}-.0050278{col 33}{space 2} .0059192{col 44}{space 5}-.0166292{col 58}{space 3} .0065736
{txt}{space 7}(1 vs 0)  6  {c |}{col 21}{res}{space 2}-.0051035{col 33}{space 2} .0068182{col 44}{space 5} -.018467{col 58}{space 3}   .00826
{txt}{space 7}(1 vs 0)  7  {c |}{col 21}{res}{space 2}-.0055963{col 33}{space 2} .0073428{col 44}{space 5}-.0199878{col 58}{space 3} .0087952
{txt}{space 7}(1 vs 0)  8  {c |}{col 21}{res}{space 2}-.0063749{col 33}{space 2} .0075637{col 44}{space 5}-.0211995{col 58}{space 3} .0084497
{txt}{space 7}(1 vs 0)  9  {c |}{col 21}{res}{space 2}-.0073081{col 33}{space 2} .0075711{col 44}{space 5}-.0221471{col 58}{space 3}  .007531
{txt}{space 7}(1 vs 0) 10  {c |}{col 21}{res}{space 2}-.0082644{col 33}{space 2} .0074723{col 44}{space 5}-.0229099{col 58}{space 3}  .006381
{txt}{space 7}(1 vs 0) 11  {c |}{col 21}{res}{space 2}-.0091128{col 33}{space 2} .0073888{col 44}{space 5}-.0235946{col 58}{space 3} .0053691
{txt}{space 7}(1 vs 0) 12  {c |}{col 21}{res}{space 2}-.0097218{col 33}{space 2} .0074427{col 44}{space 5}-.0243094{col 58}{space 3} .0048657
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Government - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 2D{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Government - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days{c )-}" "{c -(}bf:[MODEL 2]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. 
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 2.FIGURE 2D.04-18-2025.gph", replace
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 2.FIGURE 2D.04-18-2025.gph} saved

{com}. 
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. *** TESTING H3: INTRA-SECTORAL HYPOTHESIS [0 = NO PRIOR GOVERNMENT EXPERIENCE PLUS; 1 = PRIOR GOVERNMENT EXPERIENCE RESTRICTED TO ONLY ELECTED OFFICE OR WORKING ON BEHALF OF ELECTED OFFICIAL VIA STAFF; = 2 PRIOR GOVERNMENT EXPERIENCE: APPOINTED AGENCY POSITION; = 3 PRIOR GOVERNMENT EXPERIENCE: CIVIL SERVANT/NON-APPOINTED AGENCY POSITION] ***
. 
. 
. 
. 
. 
. ** GENERATE BINARY INDICATOR VARIABLES BY TYPE OF PRIOR EXPERIENCE CONSONANT WITH TESTING H3 ** 
. 
. gen agencyhead_civiladmin = 1 if  agencyhead_gov4==1 | agencyhead_gov6==1
{txt}(6,512 missing values generated)

{com}. replace  agencyhead_civiladmin = 0 if  missing(agencyhead_civiladmin)
{txt}(6,512 real changes made)

{com}. *
. *
. gen agencyhead_apptadmin = 1 if  agencyhead_gov3==1 | agencyhead_gov5==1
{txt}(9,479 missing values generated)

{com}. replace  agencyhead_apptadmin = 0 if  missing(agencyhead_apptadmin)
{txt}(9,479 real changes made)

{com}. *
. *
. gen agencyhead_polrelated = 1 if  agencyhead_gov1==1 | agencyhead_gov2==1
{txt}(8,774 missing values generated)

{com}. replace  agencyhead_polrelated = 0 if  missing(agencyhead_polrelated)
{txt}(8,774 real changes made)

{com}. *
. *
. *
. 
. 
. 
. *** MODELS DISTINGUISHING BETWEEN ALTERNATIVE TYPES OF PRIOR AGENCY HEAD EXPERIENCE ***
. 
. gen agencyhead_govord_1=.
{txt}(12,551 missing values generated)

{com}. 
. 
. ** NO PRIOR GOVERNMENT EXPERIENCE [= 0] **
. replace agencyhead_govord_1=0 if agencyhead_gov0==0
{txt}(3,191 real changes made)

{com}. 
. 
. ** PRIOR GOVERNMENT-POLITICAL RELATED EXPERIENCE ONLY [= 1; ELECTED OFFICIAL OR SERVING ON BEHALF OF ELECTED OFFICAL (STAFF OR NON-LINE AGENCY POSITION)] **
. replace agencyhead_govord_1=1 if agencyhead_polrelated==1 & agencyhead_apptadmin==0 & agencyhead_civiladmin==0
{txt}(1,816 real changes made)

{com}. 
. 
. ** PRIOR GOVERNMENT-APPOINTED ADMINISTRATIVE AGENCY EXPERIENCE ONLY [= 2; EXCLUDING CIVIL SERVICE/NON-APPOINTED ADMINISTRATIVE EXPERIENCE (i.e., = 3): includes NON-UIP [agencyhead_gov3==1] AND UIP [agencyhead_gov5==1] AGENCIES] **
. replace agencyhead_govord_1=2 if agencyhead_apptadmin==1 & agencyhead_civiladmin==0
{txt}(1,505 real changes made)

{com}. 
. 
. ** PRIOR GOVERNMENT CIVIL SERVICE/NON-APPOINTED ADMINISTRATIVE EXPERIENCE [= 3; EITHER WITH OR WITHOUT GOVERNMENT-POLITICAL RELATED OR APPOINTED POSITION EXPERIENCE: includes NON-UIP [agencyhead_gov4==1] AND UIP [agencyhead_gov6==1] AGENCIES] **
. replace agencyhead_govord_1=3 if agencyhead_civiladmin==1 
{txt}(6,039 real changes made)

{com}. 
. *
. *
. *
. tab agencyhead_govord_1 if itmod_adopt_state==1 & itmod_monthcount==0

{txt}agencyhead_ {c |}
   govord_1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,427       32.29       32.29
{txt}          1 {c |}{res}        527       11.93       44.22
{txt}          2 {c |}{res}        749       16.95       61.17
{txt}          3 {c |}{res}      1,716       38.83      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,419      100.00
{txt}
{com}. *
. *
. tab agencyhead_govord_1 if itmod_adopt_state==1 & itmod_monthcount>0

{txt}agencyhead_ {c |}
   govord_1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        564       19.01       19.01
{txt}          1 {c |}{res}        328       11.05       30.06
{txt}          2 {c |}{res}        318       10.72       40.78
{txt}          3 {c |}{res}      1,757       59.22      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,967      100.00
{txt}
{com}. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. **** TABLE 1 -- MODELS 3 & 4: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JULY 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
. ***            (MODELS 3-4; FIGURES 3A-3F; 4A-4F)
. 
. 
. 
. 
. **********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. *** ESTIMATE MODEL 3: 14 DAYS OR LESS [DELAY] [MODEL 3 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: ORGANIZATIONAL LEARNING [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** [FIGURES 2A-2F]
. 
. 
. npregress series delay_14days  itmod_monthcount i.agencyhead_govord_1 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)   vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}310{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}320{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}330{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}340{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}350{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}360{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}370{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}380{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}390{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}400{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}410{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}420{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}430{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}440{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}450{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}460{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}470{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}480{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}490{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}500{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}510{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}520{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}530{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}540{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}550{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}560{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}570{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}580{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}590{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}600{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}610{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}620{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}630{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}640{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}650{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}660{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}670{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}680{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}690{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}700{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}710{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}720{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}730{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}740{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}750{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}760{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}770{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}780{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}790{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}800{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}810{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}820{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}830{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}840{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}850{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}860{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}870{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}880{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}890{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}900{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}910{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}920{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}930{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}940{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}950{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}960{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}970{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}980{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}990{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}1,000{text} done
{res}
{txt}Cubic B-spline estimation {col 44}Number of obs      =  {res}        7,386
{txt}Criterion: {res:cross validation}{col 44}Number of knots    =  {res}            1
{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}   Observed{col 38}   Bootstrap{col 66}         Norm{col 79}al-based
{col 1}            delay_14days{col 26}{c |}     effect{col 38}   std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2} .0012335{col 38}{space 2} .0003036{col 49}{space 1}    4.06{col 58}{space 3}0.000{col 66}{space 4} .0006384{col 79}{space 3} .0018285
{txt}{space 24} {c |}
{space 5}agencyhead_govord_1 {c |}
{space 22}1  {c |}{col 26}{res}{space 2}-.0151882{col 38}{space 2} .0042741{col 49}{space 1}   -3.55{col 58}{space 3}0.000{col 66}{space 4}-.0235653{col 79}{space 3} -.006811
{txt}{space 22}2  {c |}{col 26}{res}{space 2} .0222128{col 38}{space 2} .0071906{col 49}{space 1}    3.09{col 58}{space 3}0.002{col 66}{space 4} .0081194{col 79}{space 3} .0363062
{txt}{space 22}3  {c |}{col 26}{res}{space 2}-.0103014{col 38}{space 2} .0039063{col 49}{space 1}   -2.64{col 58}{space 3}0.008{col 66}{space 4}-.0179577{col 79}{space 3}-.0026452
{txt}{space 24} {c |}
{space 7}agencyhead_tenure {c |}{col 26}{res}{space 2} .0000114{col 38}{space 2} .0000434{col 49}{space 1}    0.26{col 58}{space 3}0.792{col 66}{space 4}-.0000736{col 79}{space 3} .0000964
{txt}{space 10}automationrate {c |}{col 26}{res}{space 2}-.0636364{col 38}{space 2} .0097032{col 49}{space 1}   -6.56{col 58}{space 3}0.000{col 66}{space 4}-.0826544{col 79}{space 3}-.0446185
{txt}{space 13}wstaff_load {c |}{col 26}{res}{space 2} 6.62e-06{col 38}{space 2} 8.42e-07{col 49}{space 1}    7.86{col 58}{space 3}0.000{col 66}{space 4} 4.97e-06{col 79}{space 3} 8.27e-06
{txt}{space 13}staff_tdiff {c |}{col 26}{res}{space 2}-.3170665{col 38}{space 2} .0567577{col 49}{space 1}   -5.59{col 58}{space 3}0.000{col 66}{space 4}-.4283095{col 79}{space 3}-.2058235
{txt}{space 14}unemp_rate {c |}{col 26}{res}{space 2}-.0079598{col 38}{space 2} .0015175{col 49}{space 1}   -5.25{col 58}{space 3}0.000{col 66}{space 4} -.010934{col 79}{space 3}-.0049855
{txt}{space 1}function_sup_avgsalreal {c |}{col 26}{res}{space 2} 6.96e-07{col 38}{space 2} 2.04e-07{col 49}{space 1}    3.41{col 58}{space 3}0.001{col 66}{space 4} 2.95e-07{col 79}{space 3} 1.10e-06
{txt}{space 24} {c |}
{space 17}stateid {c |}
{space 22}5  {c |}{col 26}{res}{space 2}-.0576445{col 38}{space 2} .0088508{col 49}{space 1}   -6.51{col 58}{space 3}0.000{col 66}{space 4}-.0749918{col 79}{space 3}-.0402972
{txt}{space 22}6  {c |}{col 26}{res}{space 2} .0231038{col 38}{space 2} .0114536{col 49}{space 1}    2.02{col 58}{space 3}0.044{col 66}{space 4} .0006551{col 79}{space 3} .0455525
{txt}{space 22}9  {c |}{col 26}{res}{space 2} .0148924{col 38}{space 2} .0092003{col 49}{space 1}    1.62{col 58}{space 3}0.106{col 66}{space 4}-.0031399{col 79}{space 3} .0329247
{txt}{space 21}12  {c |}{col 26}{res}{space 2} .1314408{col 38}{space 2} .0108707{col 49}{space 1}   12.09{col 58}{space 3}0.000{col 66}{space 4} .1101346{col 79}{space 3} .1527469
{txt}{space 21}13  {c |}{col 26}{res}{space 2} .0427523{col 38}{space 2} .0084988{col 49}{space 1}    5.03{col 58}{space 3}0.000{col 66}{space 4}  .026095{col 79}{space 3} .0594097
{txt}{space 21}14  {c |}{col 26}{res}{space 2}-.0002832{col 38}{space 2} .0108323{col 49}{space 1}   -0.03{col 58}{space 3}0.979{col 66}{space 4}-.0215142{col 79}{space 3} .0209478
{txt}{space 21}18  {c |}{col 26}{res}{space 2}-.0118837{col 38}{space 2} .0113289{col 49}{space 1}   -1.05{col 58}{space 3}0.294{col 66}{space 4} -.034088{col 79}{space 3} .0103206
{txt}{space 21}19  {c |}{col 26}{res}{space 2} .0462618{col 38}{space 2} .0092353{col 49}{space 1}    5.01{col 58}{space 3}0.000{col 66}{space 4} .0281609{col 79}{space 3} .0643626
{txt}{space 21}20  {c |}{col 26}{res}{space 2}-.0814556{col 38}{space 2} .0092405{col 49}{space 1}   -8.82{col 58}{space 3}0.000{col 66}{space 4}-.0995667{col 79}{space 3}-.0633446
{txt}{space 21}21  {c |}{col 26}{res}{space 2}-.1187758{col 38}{space 2} .0117053{col 49}{space 1}  -10.15{col 58}{space 3}0.000{col 66}{space 4}-.1417178{col 79}{space 3}-.0958338
{txt}{space 21}22  {c |}{col 26}{res}{space 2}-.1058953{col 38}{space 2} .0097184{col 49}{space 1}  -10.90{col 58}{space 3}0.000{col 66}{space 4} -.124943{col 79}{space 3}-.0868476
{txt}{space 21}23  {c |}{col 26}{res}{space 2} .0320409{col 38}{space 2} .0092075{col 49}{space 1}    3.48{col 58}{space 3}0.001{col 66}{space 4} .0139945{col 79}{space 3} .0500873
{txt}{space 21}24  {c |}{col 26}{res}{space 2} -.023883{col 38}{space 2} .0143191{col 49}{space 1}   -1.67{col 58}{space 3}0.095{col 66}{space 4} -.051948{col 79}{space 3}  .004182
{txt}{space 21}25  {c |}{col 26}{res}{space 2} .0343841{col 38}{space 2} .0088835{col 49}{space 1}    3.87{col 58}{space 3}0.000{col 66}{space 4} .0169727{col 79}{space 3} .0517955
{txt}{space 21}27  {c |}{col 26}{res}{space 2} .0455688{col 38}{space 2} .0094138{col 49}{space 1}    4.84{col 58}{space 3}0.000{col 66}{space 4}  .027118{col 79}{space 3} .0640196
{txt}{space 21}28  {c |}{col 26}{res}{space 2} -.086528{col 38}{space 2} .0092527{col 49}{space 1}   -9.35{col 58}{space 3}0.000{col 66}{space 4}-.1046629{col 79}{space 3} -.068393
{txt}{space 21}29  {c |}{col 26}{res}{space 2}-.1320695{col 38}{space 2} .0149515{col 49}{space 1}   -8.83{col 58}{space 3}0.000{col 66}{space 4} -.161374{col 79}{space 3} -.102765
{txt}{space 21}31  {c |}{col 26}{res}{space 2} .1046287{col 38}{space 2} .0118471{col 49}{space 1}    8.83{col 58}{space 3}0.000{col 66}{space 4} .0814088{col 79}{space 3} .1278487
{txt}{space 21}33  {c |}{col 26}{res}{space 2}-.0831581{col 38}{space 2} .0097323{col 49}{space 1}   -8.54{col 58}{space 3}0.000{col 66}{space 4}-.1022331{col 79}{space 3} -.064083
{txt}{space 21}35  {c |}{col 26}{res}{space 2}  .027766{col 38}{space 2} .0088233{col 49}{space 1}    3.15{col 58}{space 3}0.002{col 66}{space 4} .0104726{col 79}{space 3} .0450593
{txt}{space 21}38  {c |}{col 26}{res}{space 2} .0364419{col 38}{space 2} .0087612{col 49}{space 1}    4.16{col 58}{space 3}0.000{col 66}{space 4} .0192704{col 79}{space 3} .0536135
{txt}{space 21}40  {c |}{col 26}{res}{space 2} .0587809{col 38}{space 2} .0099108{col 49}{space 1}    5.93{col 58}{space 3}0.000{col 66}{space 4} .0393561{col 79}{space 3} .0782057
{txt}{space 21}42  {c |}{col 26}{res}{space 2}-.0126241{col 38}{space 2} .0105525{col 49}{space 1}   -1.20{col 58}{space 3}0.232{col 66}{space 4}-.0333066{col 79}{space 3} .0080585
{txt}{space 21}44  {c |}{col 26}{res}{space 2} .1244856{col 38}{space 2} .0082184{col 49}{space 1}   15.15{col 58}{space 3}0.000{col 66}{space 4} .1083778{col 79}{space 3} .1405934
{txt}{space 21}46  {c |}{col 26}{res}{space 2} .0106061{col 38}{space 2} .0097803{col 49}{space 1}    1.08{col 58}{space 3}0.278{col 66}{space 4}-.0085629{col 79}{space 3} .0297752
{txt}{space 21}47  {c |}{col 26}{res}{space 2}  .053195{col 38}{space 2} .0084402{col 49}{space 1}    6.30{col 58}{space 3}0.000{col 66}{space 4} .0366524{col 79}{space 3} .0697375
{txt}{space 21}50  {c |}{col 26}{res}{space 2} .0620757{col 38}{space 2} .0144193{col 49}{space 1}    4.31{col 58}{space 3}0.000{col 66}{space 4} .0338144{col 79}{space 3}  .090337
{txt}{space 21}51  {c |}{col 26}{res}{space 2} .0370073{col 38}{space 2} .0097829{col 49}{space 1}    3.78{col 58}{space 3}0.000{col 66}{space 4} .0178331{col 79}{space 3} .0561814
{txt}{space 21}52  {c |}{col 26}{res}{space 2} .0311893{col 38}{space 2} .0096262{col 49}{space 1}    3.24{col 58}{space 3}0.001{col 66}{space 4} .0123222{col 79}{space 3} .0500564
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2} .0280774{col 38}{space 2} .0064799{col 49}{space 1}    4.33{col 58}{space 3}0.000{col 66}{space 4} .0153771{col 79}{space 3} .0407777
{txt}{space 19}2004  {c |}{col 26}{res}{space 2} .0388706{col 38}{space 2}   .00652{col 49}{space 1}    5.96{col 58}{space 3}0.000{col 66}{space 4} .0260916{col 79}{space 3} .0516496
{txt}{space 19}2005  {c |}{col 26}{res}{space 2} .0294105{col 38}{space 2} .0075241{col 49}{space 1}    3.91{col 58}{space 3}0.000{col 66}{space 4} .0146635{col 79}{space 3} .0441575
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .0253552{col 38}{space 2} .0071073{col 49}{space 1}    3.57{col 58}{space 3}0.000{col 66}{space 4} .0114253{col 79}{space 3} .0392852
{txt}{space 19}2007  {c |}{col 26}{res}{space 2} .0292123{col 38}{space 2} .0074251{col 49}{space 1}    3.93{col 58}{space 3}0.000{col 66}{space 4} .0146594{col 79}{space 3} .0437652
{txt}{space 19}2008  {c |}{col 26}{res}{space 2} .0255366{col 38}{space 2} .0074398{col 49}{space 1}    3.43{col 58}{space 3}0.001{col 66}{space 4} .0109549{col 79}{space 3} .0401183
{txt}{space 19}2009  {c |}{col 26}{res}{space 2} .0131066{col 38}{space 2} .0090086{col 49}{space 1}    1.45{col 58}{space 3}0.146{col 66}{space 4}-.0045498{col 79}{space 3} .0307631
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0217325{col 38}{space 2} .0101027{col 49}{space 1}    2.15{col 58}{space 3}0.031{col 66}{space 4} .0019317{col 79}{space 3} .0415334
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0357961{col 38}{space 2} .0092288{col 49}{space 1}    3.88{col 58}{space 3}0.000{col 66}{space 4} .0177081{col 79}{space 3} .0538842
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0092787{col 38}{space 2} .0096835{col 49}{space 1}    0.96{col 58}{space 3}0.338{col 66}{space 4}-.0097007{col 79}{space 3} .0282581
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0070094{col 38}{space 2} .0096218{col 49}{space 1}    0.73{col 58}{space 3}0.466{col 66}{space 4}-.0118489{col 79}{space 3} .0258677
{txt}{space 19}2014  {c |}{col 26}{res}{space 2} .0319865{col 38}{space 2} .0097663{col 49}{space 1}    3.28{col 58}{space 3}0.001{col 66}{space 4} .0128449{col 79}{space 3} .0511281
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0390953{col 38}{space 2} .0097102{col 49}{space 1}    4.03{col 58}{space 3}0.000{col 66}{space 4} .0200636{col 79}{space 3}  .058127
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0466223{col 38}{space 2} .0099129{col 49}{space 1}    4.70{col 58}{space 3}0.000{col 66}{space 4} .0271933{col 79}{space 3} .0660513
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0535865{col 38}{space 2} .0100684{col 49}{space 1}    5.32{col 58}{space 3}0.000{col 66}{space 4} .0338527{col 79}{space 3} .0733202
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0582592{col 38}{space 2} .0107629{col 49}{space 1}    5.41{col 58}{space 3}0.000{col 66}{space 4} .0371642{col 79}{space 3} .0793542
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0475674{col 38}{space 2}  .011549{col 49}{space 1}    4.12{col 58}{space 3}0.000{col 66}{space 4} .0249318{col 79}{space 3}  .070203
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.1472084{col 38}{space 2} .0175359{col 49}{space 1}   -8.39{col 58}{space 3}0.000{col 66}{space 4}-.1815781{col 79}{space 3}-.1128386
{txt}{space 19}2021  {c |}{col 26}{res}{space 2}-.2085429{col 38}{space 2} .0157272{col 49}{space 1}  -13.26{col 58}{space 3}0.000{col 66}{space 4}-.2393676{col 79}{space 3}-.1777182
{txt}{space 19}2022  {c |}{col 26}{res}{space 2}-.1550921{col 38}{space 2} .0177604{col 49}{space 1}   -8.73{col 58}{space 3}0.000{col 66}{space 4}-.1899019{col 79}{space 3}-.1202824
{txt}{space 24} {c |}
adoptcohort_2002_itadopt {c |}{col 26}{res}{space 2} -.102245{col 38}{space 2} .0147409{col 49}{space 1}   -6.94{col 58}{space 3}0.000{col 66}{space 4}-.1311365{col 79}{space 3}-.0733534
{txt}adoptcohort_2004_itadopt {c |}{col 26}{res}{space 2} .0127375{col 38}{space 2} .0122697{col 49}{space 1}    1.04{col 58}{space 3}0.299{col 66}{space 4}-.0113107{col 79}{space 3} .0367857
{txt}adoptcohort_2006_itadopt {c |}{col 26}{res}{space 2}-.0322654{col 38}{space 2} .0097799{col 49}{space 1}   -3.30{col 58}{space 3}0.001{col 66}{space 4}-.0514335{col 79}{space 3}-.0130972
{txt}adoptcohort_2007_itadopt {c |}{col 26}{res}{space 2}-.0290441{col 38}{space 2} .0100415{col 49}{space 1}   -2.89{col 58}{space 3}0.004{col 66}{space 4} -.048725{col 79}{space 3}-.0093632
{txt}adoptcohort_2009_itadopt {c |}{col 26}{res}{space 2} .0758694{col 38}{space 2} .0146447{col 49}{space 1}    5.18{col 58}{space 3}0.000{col 66}{space 4} .0471664{col 79}{space 3} .1045725
{txt}adoptcohort_2010_itadopt {c |}{col 26}{res}{space 2}-.0522129{col 38}{space 2} .0120984{col 49}{space 1}   -4.32{col 58}{space 3}0.000{col 66}{space 4}-.0759253{col 79}{space 3}-.0285004
{txt}adoptcohort_2013_itadopt {c |}{col 26}{res}{space 2}-.0442936{col 38}{space 2} .0095629{col 49}{space 1}   -4.63{col 58}{space 3}0.000{col 66}{space 4}-.0630366{col 79}{space 3}-.0255506
{txt}adoptcohort_2014_itadopt {c |}{col 26}{res}{space 2} -.054745{col 38}{space 2} .0171344{col 49}{space 1}   -3.20{col 58}{space 3}0.001{col 66}{space 4}-.0883277{col 79}{space 3}-.0211623
{txt}adoptcohort_2015_itadopt {c |}{col 26}{res}{space 2}-.0094494{col 38}{space 2} .0115963{col 49}{space 1}   -0.81{col 58}{space 3}0.415{col 66}{space 4}-.0321778{col 79}{space 3}  .013279
{txt}adoptcohort_2016_itadopt {c |}{col 26}{res}{space 2}-.0516477{col 38}{space 2} .0179445{col 49}{space 1}   -2.88{col 58}{space 3}0.004{col 66}{space 4}-.0868183{col 79}{space 3}-.0164772
{txt}adoptcohort_2017_itadopt {c |}{col 26}{res}{space 2}-.0929072{col 38}{space 2} .0135191{col 49}{space 1}   -6.87{col 58}{space 3}0.000{col 66}{space 4}-.1194041{col 79}{space 3}-.0664103
{txt}adoptcohort_2018_itadopt {c |}{col 26}{res}{space 2} .0110526{col 38}{space 2} .0253197{col 49}{space 1}    0.44{col 58}{space 3}0.662{col 66}{space 4} -.038573{col 79}{space 3} .0606783
{txt}adoptcohort_2020_itadopt {c |}{col 26}{res}{space 2} -.154789{col 38}{space 2} .0269633{col 49}{space 1}   -5.74{col 58}{space 3}0.000{col 66}{space 4} -.207636{col 79}{space 3} -.101942
{txt}adoptcohort_2021_itadopt {c |}{col 26}{res}{space 2}-.2200486{col 38}{space 2} .0637266{col 49}{space 1}   -3.45{col 58}{space 3}0.001{col 66}{space 4}-.3449505{col 79}{space 3}-.0951467
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 3] FIGURE 3A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_1==1 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,846}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(1 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.46{col 49}{space 2}   0.2267
{txt}{space 11}(1 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.41{col 49}{space 2}   0.1204
{txt}{space 11}(1 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.97{col 49}{space 2}   0.0083
{txt}{space 11}(1 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.70{col 49}{space 2}   0.0055
{txt}{space 11}(1 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.79{col 49}{space 2}   0.0092
{txt}{space 11}(1 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.71{col 49}{space 2}   0.0168
{txt}{space 11}(1 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.65{col 49}{space 2}   0.0311
{txt}{space 11}(1 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.58{col 49}{space 2}   0.0584
{txt}{space 11}(1 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.51{col 49}{space 2}   0.1129
{txt}{space 11}(1 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.49{col 49}{space 2}   0.2223
{txt}{space 11}(1 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.63{col 49}{space 2}   0.4285
{txt}{space 11}(1 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.10{col 49}{space 2}   0.7554
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(1 vs 0)  1  {c |}{col 25}{res}{space 2}-.0059997{col 37}{space 2} .0049633{col 48}{space 5}-.0157274{col 62}{space 3} .0037281
{txt}{space 11}(1 vs 0)  2  {c |}{col 25}{res}{space 2}-.0074703{col 37}{space 2}   .00481{col 48}{space 5}-.0168978{col 62}{space 3} .0019572
{txt}{space 11}(1 vs 0)  3  {c |}{col 25}{res}{space 2}-.0137281{col 37}{space 2}  .005201{col 48}{space 5}-.0239219{col 62}{space 3}-.0035342
{txt}{space 11}(1 vs 0)  4  {c |}{col 25}{res}{space 2}-.0189861{col 37}{space 2} .0068425{col 48}{space 5}-.0323971{col 62}{space 3} -.005575
{txt}{space 11}(1 vs 0)  5  {c |}{col 25}{res}{space 2}-.0220337{col 37}{space 2} .0084587{col 48}{space 5}-.0386124{col 62}{space 3} -.005455
{txt}{space 11}(1 vs 0)  6  {c |}{col 25}{res}{space 2}-.0231309{col 37}{space 2}  .009677{col 48}{space 5}-.0420976{col 62}{space 3}-.0041643
{txt}{space 11}(1 vs 0)  7  {c |}{col 25}{res}{space 2}-.0225378{col 37}{space 2} .0104542{col 48}{space 5}-.0430276{col 62}{space 3} -.002048
{txt}{space 11}(1 vs 0)  8  {c |}{col 25}{res}{space 2}-.0205143{col 37}{space 2} .0108406{col 48}{space 5}-.0417615{col 62}{space 3}  .000733
{txt}{space 11}(1 vs 0)  9  {c |}{col 25}{res}{space 2}-.0173204{col 37}{space 2}  .010927{col 48}{space 5}-.0387369{col 62}{space 3} .0040961
{txt}{space 11}(1 vs 0) 10  {c |}{col 25}{res}{space 2}-.0132162{col 37}{space 2} .0108301{col 48}{space 5}-.0344428{col 62}{space 3} .0080104
{txt}{space 11}(1 vs 0) 11  {c |}{col 25}{res}{space 2}-.0084616{col 37}{space 2} .0106877{col 48}{space 5}-.0294091{col 62}{space 3} .0124859
{txt}{space 11}(1 vs 0) 12  {c |}{col 25}{res}{space 2}-.0033167{col 37}{space 2} .0106475{col 48}{space 5}-.0241854{col 62}{space 3}  .017552
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 3A{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3A.04-18-2025.gph", replace
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3A.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. *
. 
. * [MODEL 3] FIGURE 3B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,058}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    41.63{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    50.15{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    48.51{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    30.93{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    24.84{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    23.20{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    23.58{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    25.11{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    27.33{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    29.72{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    31.58{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    32.00{col 49}{space 2}   0.0000
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 0)  1  {c |}{col 25}{res}{space 2} .0322704{col 37}{space 2} .0050017{col 48}{space 5} .0224672{col 62}{space 3} .0420736
{txt}{space 11}(2 vs 0)  2  {c |}{col 25}{res}{space 2} .0338041{col 37}{space 2} .0047732{col 48}{space 5} .0244488{col 62}{space 3} .0431595
{txt}{space 11}(2 vs 0)  3  {c |}{col 25}{res}{space 2} .0412788{col 37}{space 2} .0059268{col 48}{space 5} .0296624{col 62}{space 3} .0528951
{txt}{space 11}(2 vs 0)  4  {c |}{col 25}{res}{space 2} .0497517{col 37}{space 2} .0089451{col 48}{space 5} .0322196{col 62}{space 3} .0672839
{txt}{space 11}(2 vs 0)  5  {c |}{col 25}{res}{space 2}  .057575{col 37}{space 2} .0115529{col 48}{space 5} .0349318{col 62}{space 3} .0802183
{txt}{space 11}(2 vs 0)  6  {c |}{col 25}{res}{space 2} .0646344{col 37}{space 2}   .01342{col 48}{space 5} .0383317{col 62}{space 3} .0909371
{txt}{space 11}(2 vs 0)  7  {c |}{col 25}{res}{space 2} .0708155{col 37}{space 2} .0145846{col 48}{space 5} .0422302{col 62}{space 3} .0994009
{txt}{space 11}(2 vs 0)  8  {c |}{col 25}{res}{space 2} .0760042{col 37}{space 2} .0151671{col 48}{space 5} .0462773{col 62}{space 3}  .105731
{txt}{space 11}(2 vs 0)  9  {c |}{col 25}{res}{space 2} .0800859{col 37}{space 2} .0153198{col 48}{space 5} .0500597{col 62}{space 3} .1101122
{txt}{space 11}(2 vs 0) 10  {c |}{col 25}{res}{space 2} .0829466{col 37}{space 2} .0152145{col 48}{space 5} .0531268{col 62}{space 3} .1127664
{txt}{space 11}(2 vs 0) 11  {c |}{col 25}{res}{space 2} .0844719{col 37}{space 2}  .015032{col 48}{space 5} .0550097{col 62}{space 3} .1139341
{txt}{space 11}(2 vs 0) 12  {c |}{col 25}{res}{space 2} .0845475{col 37}{space 2} .0149453{col 48}{space 5} .0552552{col 62}{space 3} .1138398
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Appointed Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 3B{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Appointed Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3B.04-18-2025.gph", replace
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3B.04-18-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 3] FIGURE 3C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,464}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.90{col 49}{space 2}   0.0086
{txt}{space 11}(3 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.47{col 49}{space 2}   0.0193
{txt}{space 11}(3 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.42{col 49}{space 2}   0.5192
{txt}{space 11}(3 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.16{col 49}{space 2}   0.6889
{txt}{space 11}(3 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.60{col 49}{space 2}   0.4402
{txt}{space 11}(3 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.80{col 49}{space 2}   0.3712
{txt}{space 11}(3 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.81{col 49}{space 2}   0.3678
{txt}{space 11}(3 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.70{col 49}{space 2}   0.4022
{txt}{space 11}(3 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.53{col 49}{space 2}   0.4687
{txt}{space 11}(3 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.33{col 49}{space 2}   0.5676
{txt}{space 11}(3 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.15{col 49}{space 2}   0.6971
{txt}{space 11}(3 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.04{col 49}{space 2}   0.8454
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 0)  1  {c |}{col 25}{res}{space 2} .0096455{col 37}{space 2} .0036718{col 48}{space 5} .0024489{col 62}{space 3} .0168422
{txt}{space 11}(3 vs 0)  2  {c |}{col 25}{res}{space 2} .0083447{col 37}{space 2} .0035665{col 48}{space 5} .0013544{col 62}{space 3}  .015335
{txt}{space 11}(3 vs 0)  3  {c |}{col 25}{res}{space 2} .0026946{col 37}{space 2} .0041809{col 48}{space 5}-.0054998{col 62}{space 3} .0108891
{txt}{space 11}(3 vs 0)  4  {c |}{col 25}{res}{space 2}-.0023478{col 37}{space 2} .0058649{col 48}{space 5}-.0138428{col 62}{space 3} .0091472
{txt}{space 11}(3 vs 0)  5  {c |}{col 25}{res}{space 2}-.0057139{col 37}{space 2} .0074023{col 48}{space 5}-.0202222{col 62}{space 3} .0087944
{txt}{space 11}(3 vs 0)  6  {c |}{col 25}{res}{space 2}-.0076358{col 37}{space 2} .0085389{col 48}{space 5}-.0243717{col 62}{space 3}    .0091
{txt}{space 11}(3 vs 0)  7  {c |}{col 25}{res}{space 2}-.0083459{col 37}{space 2} .0092665{col 48}{space 5} -.026508{col 62}{space 3} .0098162
{txt}{space 11}(3 vs 0)  8  {c |}{col 25}{res}{space 2}-.0080761{col 37}{space 2} .0096403{col 48}{space 5}-.0269708{col 62}{space 3} .0108185
{txt}{space 11}(3 vs 0)  9  {c |}{col 25}{res}{space 2}-.0070588{col 37}{space 2} .0097415{col 48}{space 5}-.0261517{col 62}{space 3} .0120341
{txt}{space 11}(3 vs 0) 10  {c |}{col 25}{res}{space 2}-.0055261{col 37}{space 2} .0096684{col 48}{space 5}-.0244759{col 62}{space 3} .0134236
{txt}{space 11}(3 vs 0) 11  {c |}{col 25}{res}{space 2}-.0037103{col 37}{space 2} .0095326{col 48}{space 5}-.0223939{col 62}{space 3} .0149734
{txt}{space 11}(3 vs 0) 12  {c |}{col 25}{res}{space 2}-.0018434{col 37}{space 2} .0094508{col 48}{space 5}-.0203667{col 62}{space 3} .0166799
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 3C{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3C.04-18-2025.gph", replace
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3C.04-18-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * [MODEL 3] FIGURE 3D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,922}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    36.80{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    46.95{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    75.68{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    64.72{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    54.37{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    48.99{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    46.28{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    44.79{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    43.57{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    41.85{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    38.96{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    34.48{col 49}{space 2}   0.0000
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 1)  1  {c |}{col 25}{res}{space 2} .0382701{col 37}{space 2} .0063089{col 48}{space 5} .0259049{col 62}{space 3} .0506352
{txt}{space 11}(2 vs 1)  2  {c |}{col 25}{res}{space 2} .0412744{col 37}{space 2} .0060236{col 48}{space 5} .0294683{col 62}{space 3} .0530806
{txt}{space 11}(2 vs 1)  3  {c |}{col 25}{res}{space 2} .0550068{col 37}{space 2}  .006323{col 48}{space 5} .0426139{col 62}{space 3} .0673998
{txt}{space 11}(2 vs 1)  4  {c |}{col 25}{res}{space 2} .0687378{col 37}{space 2} .0085443{col 48}{space 5} .0519913{col 62}{space 3} .0854843
{txt}{space 11}(2 vs 1)  5  {c |}{col 25}{res}{space 2} .0796087{col 37}{space 2} .0107965{col 48}{space 5} .0584479{col 62}{space 3} .1007696
{txt}{space 11}(2 vs 1)  6  {c |}{col 25}{res}{space 2} .0877653{col 37}{space 2} .0125389{col 48}{space 5} .0631896{col 62}{space 3} .1123411
{txt}{space 11}(2 vs 1)  7  {c |}{col 25}{res}{space 2} .0933533{col 37}{space 2} .0137221{col 48}{space 5} .0664585{col 62}{space 3} .1202482
{txt}{space 11}(2 vs 1)  8  {c |}{col 25}{res}{space 2} .0965184{col 37}{space 2} .0144217{col 48}{space 5} .0682525{col 62}{space 3} .1247844
{txt}{space 11}(2 vs 1)  9  {c |}{col 25}{res}{space 2} .0974063{col 37}{space 2} .0147565{col 48}{space 5} .0684842{col 62}{space 3} .1263285
{txt}{space 11}(2 vs 1) 10  {c |}{col 25}{res}{space 2} .0961628{col 37}{space 2} .0148645{col 48}{space 5} .0670289{col 62}{space 3} .1252967
{txt}{space 11}(2 vs 1) 11  {c |}{col 25}{res}{space 2} .0929335{col 37}{space 2}  .014889{col 48}{space 5} .0637516{col 62}{space 3} .1221155
{txt}{space 11}(2 vs 1) 12  {c |}{col 25}{res}{space 2} .0878642{col 37}{space 2} .0149634{col 48}{space 5} .0585364{col 62}{space 3}  .117192
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Appointed Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 3D{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Appointed Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3D.04-18-2025.gph", replace
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3D.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 3] FIGURE 3E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,328}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.14{col 49}{space 2}   0.0015
{txt}{space 11}(3 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.94{col 49}{space 2}   0.0009
{txt}{space 11}(3 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.72{col 49}{space 2}   0.0006
{txt}{space 11}(3 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.40{col 49}{space 2}   0.0038
{txt}{space 11}(3 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.55{col 49}{space 2}   0.0185
{txt}{space 11}(3 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.75{col 49}{space 2}   0.0528
{txt}{space 11}(3 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.57{col 49}{space 2}   0.1089
{txt}{space 11}(3 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.72{col 49}{space 2}   0.1891
{txt}{space 11}(3 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.08{col 49}{space 2}   0.2990
{txt}{space 11}(3 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.58{col 49}{space 2}   0.4473
{txt}{space 11}(3 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.22{col 49}{space 2}   0.6426
{txt}{space 11}(3 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.02{col 49}{space 2}   0.8862
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 1)  1  {c |}{col 25}{res}{space 2} .0156452{col 37}{space 2}  .004913{col 48}{space 5} .0060159{col 62}{space 3} .0252745
{txt}{space 11}(3 vs 1)  2  {c |}{col 25}{res}{space 2}  .015815{col 37}{space 2} .0047816{col 48}{space 5} .0064432{col 62}{space 3} .0251868
{txt}{space 11}(3 vs 1)  3  {c |}{col 25}{res}{space 2} .0164227{col 37}{space 2} .0047969{col 48}{space 5} .0070209{col 62}{space 3} .0258245
{txt}{space 11}(3 vs 1)  4  {c |}{col 25}{res}{space 2} .0166383{col 37}{space 2} .0057406{col 48}{space 5}  .005387{col 62}{space 3} .0278896
{txt}{space 11}(3 vs 1)  5  {c |}{col 25}{res}{space 2} .0163198{col 37}{space 2} .0069277{col 48}{space 5} .0027417{col 62}{space 3} .0298979
{txt}{space 11}(3 vs 1)  6  {c |}{col 25}{res}{space 2} .0154951{col 37}{space 2} .0079998{col 48}{space 5}-.0001843{col 62}{space 3} .0311744
{txt}{space 11}(3 vs 1)  7  {c |}{col 25}{res}{space 2} .0141919{col 37}{space 2} .0088521{col 48}{space 5}-.0031578{col 62}{space 3} .0315416
{txt}{space 11}(3 vs 1)  8  {c |}{col 25}{res}{space 2} .0124381{col 37}{space 2} .0094712{col 48}{space 5} -.006125{col 62}{space 3} .0310013
{txt}{space 11}(3 vs 1)  9  {c |}{col 25}{res}{space 2} .0102616{col 37}{space 2}   .00988{col 48}{space 5}-.0091028{col 62}{space 3}  .029626
{txt}{space 11}(3 vs 1) 10  {c |}{col 25}{res}{space 2}   .00769{col 37}{space 2}  .010119{col 48}{space 5}-.0121428{col 62}{space 3} .0275228
{txt}{space 11}(3 vs 1) 11  {c |}{col 25}{res}{space 2} .0047514{col 37}{space 2} .0102391{col 48}{space 5}-.0153169{col 62}{space 3} .0248196
{txt}{space 11}(3 vs 1) 12  {c |}{col 25}{res}{space 2} .0014734{col 37}{space 2} .0102981{col 48}{space 5}-.0187106{col 62}{space 3} .0216573
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 3E{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3E.04-18-2025.gph", replace
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3E.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 3] FIGURE 3F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==2|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,540}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 2)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    18.37{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    25.89{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    49.60{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    44.21{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    39.41{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    37.72{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    37.77{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    38.79{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    40.22{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    41.51{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    42.01{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    41.04{col 49}{space 2}   0.0000
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 2)  1  {c |}{col 25}{res}{space 2}-.0226249{col 37}{space 2}  .005279{col 48}{space 5}-.0329715{col 62}{space 3}-.0122782
{txt}{space 11}(3 vs 2)  2  {c |}{col 25}{res}{space 2}-.0254595{col 37}{space 2} .0050038{col 48}{space 5}-.0352666{col 62}{space 3}-.0156523
{txt}{space 11}(3 vs 2)  3  {c |}{col 25}{res}{space 2}-.0385841{col 37}{space 2} .0054787{col 48}{space 5}-.0493221{col 62}{space 3}-.0278461
{txt}{space 11}(3 vs 2)  4  {c |}{col 25}{res}{space 2}-.0520995{col 37}{space 2} .0078352{col 48}{space 5}-.0674563{col 62}{space 3}-.0367427
{txt}{space 11}(3 vs 2)  5  {c |}{col 25}{res}{space 2}-.0632889{col 37}{space 2} .0100809{col 48}{space 5}-.0830471{col 62}{space 3}-.0435307
{txt}{space 11}(3 vs 2)  6  {c |}{col 25}{res}{space 2}-.0722703{col 37}{space 2} .0117678{col 48}{space 5}-.0953348{col 62}{space 3}-.0492058
{txt}{space 11}(3 vs 2)  7  {c |}{col 25}{res}{space 2}-.0791614{col 37}{space 2} .0128801{col 48}{space 5}-.1044059{col 62}{space 3} -.053917
{txt}{space 11}(3 vs 2)  8  {c |}{col 25}{res}{space 2}-.0840803{col 37}{space 2} .0134995{col 48}{space 5}-.1105388{col 62}{space 3}-.0576218
{txt}{space 11}(3 vs 2)  9  {c |}{col 25}{res}{space 2}-.0871448{col 37}{space 2} .0137406{col 48}{space 5}-.1140758{col 62}{space 3}-.0602137
{txt}{space 11}(3 vs 2) 10  {c |}{col 25}{res}{space 2}-.0884728{col 37}{space 2} .0137318{col 48}{space 5}-.1153866{col 62}{space 3}-.0615589
{txt}{space 11}(3 vs 2) 11  {c |}{col 25}{res}{space 2}-.0881822{col 37}{space 2} .0136054{col 48}{space 5}-.1148483{col 62}{space 3} -.061516
{txt}{space 11}(3 vs 2) 12  {c |}{col 25}{res}{space 2}-.0863909{col 37}{space 2} .0134855{col 48}{space 5}-.1128219{col 62}{space 3}-.0599598
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative  - Prior Appointed Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 3F{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Appointed Administrative{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3F.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3F.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 3.FIGURE 3F.04-18-2025.gph} saved

{com}. 
. 
. 
. 
. ********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. 
. *** MODEL 4: 28 DAYS OR MORE [DELAY] [MODEL 4 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] ***      [FIGURES 4A-4F]
. 
. *
. *
. 
. npregress series  delay_29plusdays  itmod_monthcount i.agencyhead_govord_1 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)   vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}310{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}320{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}330{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}340{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}350{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}360{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}370{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}380{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}390{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}400{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}410{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}420{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}430{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}440{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}450{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}460{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}470{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}480{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}490{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}500{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}510{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}520{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}530{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}540{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}550{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}560{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}570{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}580{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}590{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}600{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}610{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}620{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}630{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}640{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}650{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}660{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}670{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}680{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}690{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}700{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}710{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}720{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}730{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}740{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}750{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}760{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}770{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}780{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}790{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}800{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}810{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}820{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}830{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}840{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}850{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}860{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}870{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}880{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}890{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}900{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}910{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}920{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}930{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}940{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}950{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}960{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}970{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}980{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}990{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}1,000{text} done
{res}
{txt}Cubic B-spline estimation {col 44}Number of obs      =  {res}        7,386
{txt}Criterion: {res:cross validation}{col 44}Number of knots    =  {res}            1
{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}   Observed{col 38}   Bootstrap{col 66}         Norm{col 79}al-based
{col 1}        delay_29plusdays{col 26}{c |}     effect{col 38}   std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2}-.0006899{col 38}{space 2} .0002442{col 49}{space 1}   -2.83{col 58}{space 3}0.005{col 66}{space 4}-.0011684{col 79}{space 3}-.0002113
{txt}{space 24} {c |}
{space 5}agencyhead_govord_1 {c |}
{space 22}1  {c |}{col 26}{res}{space 2} .0063512{col 38}{space 2} .0032379{col 49}{space 1}    1.96{col 58}{space 3}0.050{col 66}{space 4} 5.09e-06{col 79}{space 3} .0126974
{txt}{space 22}2  {c |}{col 26}{res}{space 2} -.005512{col 38}{space 2} .0062303{col 49}{space 1}   -0.88{col 58}{space 3}0.376{col 66}{space 4}-.0177232{col 79}{space 3} .0066992
{txt}{space 22}3  {c |}{col 26}{res}{space 2} .0105929{col 38}{space 2} .0032171{col 49}{space 1}    3.29{col 58}{space 3}0.001{col 66}{space 4} .0042874{col 79}{space 3} .0168983
{txt}{space 24} {c |}
{space 7}agencyhead_tenure {c |}{col 26}{res}{space 2}-.0000748{col 38}{space 2} .0000333{col 49}{space 1}   -2.25{col 58}{space 3}0.025{col 66}{space 4}  -.00014{col 79}{space 3}-9.50e-06
{txt}{space 10}automationrate {c |}{col 26}{res}{space 2} .0336403{col 38}{space 2} .0079985{col 49}{space 1}    4.21{col 58}{space 3}0.000{col 66}{space 4} .0179636{col 79}{space 3}  .049317
{txt}{space 13}wstaff_load {c |}{col 26}{res}{space 2}-6.84e-06{col 38}{space 2} 7.09e-07{col 49}{space 1}   -9.65{col 58}{space 3}0.000{col 66}{space 4}-8.22e-06{col 79}{space 3}-5.45e-06
{txt}{space 13}staff_tdiff {c |}{col 26}{res}{space 2} .1556613{col 38}{space 2} .0379832{col 49}{space 1}    4.10{col 58}{space 3}0.000{col 66}{space 4} .0812155{col 79}{space 3}  .230107
{txt}{space 14}unemp_rate {c |}{col 26}{res}{space 2} .0078782{col 38}{space 2} .0014199{col 49}{space 1}    5.55{col 58}{space 3}0.000{col 66}{space 4} .0050952{col 79}{space 3} .0106613
{txt}{space 1}function_sup_avgsalreal {c |}{col 26}{res}{space 2}-3.44e-07{col 38}{space 2} 1.85e-07{col 49}{space 1}   -1.86{col 58}{space 3}0.063{col 66}{space 4}-7.06e-07{col 79}{space 3} 1.85e-08
{txt}{space 24} {c |}
{space 17}stateid {c |}
{space 22}5  {c |}{col 26}{res}{space 2} .0207787{col 38}{space 2} .0063738{col 49}{space 1}    3.26{col 58}{space 3}0.001{col 66}{space 4} .0082862{col 79}{space 3} .0332711
{txt}{space 22}6  {c |}{col 26}{res}{space 2} .0119575{col 38}{space 2} .0089273{col 49}{space 1}    1.34{col 58}{space 3}0.180{col 66}{space 4}-.0055396{col 79}{space 3} .0294546
{txt}{space 22}9  {c |}{col 26}{res}{space 2} .0238149{col 38}{space 2}  .006842{col 49}{space 1}    3.48{col 58}{space 3}0.001{col 66}{space 4} .0104049{col 79}{space 3} .0372249
{txt}{space 21}12  {c |}{col 26}{res}{space 2}-.0294191{col 38}{space 2} .0078964{col 49}{space 1}   -3.73{col 58}{space 3}0.000{col 66}{space 4}-.0448957{col 79}{space 3}-.0139425
{txt}{space 21}13  {c |}{col 26}{res}{space 2} .0025687{col 38}{space 2} .0057721{col 49}{space 1}    0.45{col 58}{space 3}0.656{col 66}{space 4}-.0087445{col 79}{space 3} .0138819
{txt}{space 21}14  {c |}{col 26}{res}{space 2} .0366196{col 38}{space 2}  .008162{col 49}{space 1}    4.49{col 58}{space 3}0.000{col 66}{space 4} .0206224{col 79}{space 3} .0526169
{txt}{space 21}18  {c |}{col 26}{res}{space 2} .0580036{col 38}{space 2} .0082178{col 49}{space 1}    7.06{col 58}{space 3}0.000{col 66}{space 4}  .041897{col 79}{space 3} .0741103
{txt}{space 21}19  {c |}{col 26}{res}{space 2}-.0078291{col 38}{space 2} .0063405{col 49}{space 1}   -1.23{col 58}{space 3}0.217{col 66}{space 4}-.0202564{col 79}{space 3} .0045981
{txt}{space 21}20  {c |}{col 26}{res}{space 2} .0240842{col 38}{space 2} .0070562{col 49}{space 1}    3.41{col 58}{space 3}0.001{col 66}{space 4} .0102542{col 79}{space 3} .0379142
{txt}{space 21}21  {c |}{col 26}{res}{space 2} .0961991{col 38}{space 2} .0080038{col 49}{space 1}   12.02{col 58}{space 3}0.000{col 66}{space 4} .0805119{col 79}{space 3} .1118863
{txt}{space 21}22  {c |}{col 26}{res}{space 2} .0495006{col 38}{space 2} .0070097{col 49}{space 1}    7.06{col 58}{space 3}0.000{col 66}{space 4} .0357618{col 79}{space 3} .0632393
{txt}{space 21}23  {c |}{col 26}{res}{space 2} .0118278{col 38}{space 2} .0064661{col 49}{space 1}    1.83{col 58}{space 3}0.067{col 66}{space 4}-.0008456{col 79}{space 3} .0245012
{txt}{space 21}24  {c |}{col 26}{res}{space 2} .0450395{col 38}{space 2} .0087255{col 49}{space 1}    5.16{col 58}{space 3}0.000{col 66}{space 4} .0279378{col 79}{space 3} .0621412
{txt}{space 21}25  {c |}{col 26}{res}{space 2}-.0024943{col 38}{space 2}  .006229{col 49}{space 1}   -0.40{col 58}{space 3}0.689{col 66}{space 4}-.0147028{col 79}{space 3} .0097143
{txt}{space 21}27  {c |}{col 26}{res}{space 2} .0208741{col 38}{space 2} .0061129{col 49}{space 1}    3.41{col 58}{space 3}0.001{col 66}{space 4}  .008893{col 79}{space 3} .0328551
{txt}{space 21}28  {c |}{col 26}{res}{space 2} .0422956{col 38}{space 2} .0067766{col 49}{space 1}    6.24{col 58}{space 3}0.000{col 66}{space 4} .0290136{col 79}{space 3} .0555775
{txt}{space 21}29  {c |}{col 26}{res}{space 2} .0659956{col 38}{space 2}  .012075{col 49}{space 1}    5.47{col 58}{space 3}0.000{col 66}{space 4} .0423291{col 79}{space 3} .0896621
{txt}{space 21}31  {c |}{col 26}{res}{space 2}-.0169444{col 38}{space 2} .0086831{col 49}{space 1}   -1.95{col 58}{space 3}0.051{col 66}{space 4} -.033963{col 79}{space 3} .0000742
{txt}{space 21}33  {c |}{col 26}{res}{space 2} .0840353{col 38}{space 2} .0063799{col 49}{space 1}   13.17{col 58}{space 3}0.000{col 66}{space 4}  .071531{col 79}{space 3} .0965396
{txt}{space 21}35  {c |}{col 26}{res}{space 2} .0147292{col 38}{space 2}  .004794{col 49}{space 1}    3.07{col 58}{space 3}0.002{col 66}{space 4} .0053332{col 79}{space 3} .0241253
{txt}{space 21}38  {c |}{col 26}{res}{space 2}  .018145{col 38}{space 2} .0061233{col 49}{space 1}    2.96{col 58}{space 3}0.003{col 66}{space 4} .0061437{col 79}{space 3} .0301464
{txt}{space 21}40  {c |}{col 26}{res}{space 2}   .00191{col 38}{space 2} .0071384{col 49}{space 1}    0.27{col 58}{space 3}0.789{col 66}{space 4} -.012081{col 79}{space 3}  .015901
{txt}{space 21}42  {c |}{col 26}{res}{space 2} .0557256{col 38}{space 2} .0078336{col 49}{space 1}    7.11{col 58}{space 3}0.000{col 66}{space 4}  .040372{col 79}{space 3} .0710792
{txt}{space 21}44  {c |}{col 26}{res}{space 2}-.0310436{col 38}{space 2}  .005351{col 49}{space 1}   -5.80{col 58}{space 3}0.000{col 66}{space 4}-.0415313{col 79}{space 3}-.0205559
{txt}{space 21}46  {c |}{col 26}{res}{space 2} .0137523{col 38}{space 2} .0071543{col 49}{space 1}    1.92{col 58}{space 3}0.055{col 66}{space 4}-.0002699{col 79}{space 3} .0277745
{txt}{space 21}47  {c |}{col 26}{res}{space 2} .0018333{col 38}{space 2} .0056276{col 49}{space 1}    0.33{col 58}{space 3}0.745{col 66}{space 4}-.0091967{col 79}{space 3} .0128633
{txt}{space 21}50  {c |}{col 26}{res}{space 2}-.0318722{col 38}{space 2} .0099397{col 49}{space 1}   -3.21{col 58}{space 3}0.001{col 66}{space 4}-.0513536{col 79}{space 3}-.0123907
{txt}{space 21}51  {c |}{col 26}{res}{space 2} .0186013{col 38}{space 2}   .00699{col 49}{space 1}    2.66{col 58}{space 3}0.008{col 66}{space 4} .0049012{col 79}{space 3} .0323014
{txt}{space 21}52  {c |}{col 26}{res}{space 2} .0176896{col 38}{space 2} .0064794{col 49}{space 1}    2.73{col 58}{space 3}0.006{col 66}{space 4} .0049902{col 79}{space 3} .0303889
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2}-.0196693{col 38}{space 2} .0038681{col 49}{space 1}   -5.09{col 58}{space 3}0.000{col 66}{space 4}-.0272507{col 79}{space 3} -.012088
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.0220703{col 38}{space 2} .0039134{col 49}{space 1}   -5.64{col 58}{space 3}0.000{col 66}{space 4}-.0297404{col 79}{space 3}-.0144003
{txt}{space 19}2005  {c |}{col 26}{res}{space 2}-.0176861{col 38}{space 2}    .0047{col 49}{space 1}   -3.76{col 58}{space 3}0.000{col 66}{space 4}-.0268978{col 79}{space 3}-.0084743
{txt}{space 19}2006  {c |}{col 26}{res}{space 2}-.0110918{col 38}{space 2}  .004586{col 49}{space 1}   -2.42{col 58}{space 3}0.016{col 66}{space 4}-.0200801{col 79}{space 3}-.0021035
{txt}{space 19}2007  {c |}{col 26}{res}{space 2}-.0129316{col 38}{space 2} .0049338{col 49}{space 1}   -2.62{col 58}{space 3}0.009{col 66}{space 4}-.0226017{col 79}{space 3}-.0032615
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.0127738{col 38}{space 2} .0049545{col 49}{space 1}   -2.58{col 58}{space 3}0.010{col 66}{space 4}-.0224845{col 79}{space 3}-.0030631
{txt}{space 19}2009  {c |}{col 26}{res}{space 2}-.0145176{col 38}{space 2} .0068469{col 49}{space 1}   -2.12{col 58}{space 3}0.034{col 66}{space 4}-.0279372{col 79}{space 3} -.001098
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0146285{col 38}{space 2} .0078147{col 49}{space 1}   -1.87{col 58}{space 3}0.061{col 66}{space 4} -.029945{col 79}{space 3} .0006881
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0289208{col 38}{space 2} .0068014{col 49}{space 1}   -4.25{col 58}{space 3}0.000{col 66}{space 4}-.0422513{col 79}{space 3}-.0155902
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0076047{col 38}{space 2} .0070769{col 49}{space 1}   -1.07{col 58}{space 3}0.283{col 66}{space 4}-.0214752{col 79}{space 3} .0062657
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0079494{col 38}{space 2} .0070626{col 49}{space 1}   -1.13{col 58}{space 3}0.260{col 66}{space 4}-.0217918{col 79}{space 3}  .005893
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.0168406{col 38}{space 2} .0073545{col 49}{space 1}   -2.29{col 58}{space 3}0.022{col 66}{space 4}-.0312552{col 79}{space 3}-.0024261
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0260001{col 38}{space 2}   .00702{col 49}{space 1}   -3.70{col 58}{space 3}0.000{col 66}{space 4}-.0397589{col 79}{space 3}-.0122412
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} -.022669{col 38}{space 2} .0074409{col 49}{space 1}   -3.05{col 58}{space 3}0.002{col 66}{space 4}-.0372529{col 79}{space 3}-.0080851
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0296992{col 38}{space 2} .0078327{col 49}{space 1}   -3.79{col 58}{space 3}0.000{col 66}{space 4}-.0450509{col 79}{space 3}-.0143474
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0299701{col 38}{space 2}  .008644{col 49}{space 1}   -3.47{col 58}{space 3}0.001{col 66}{space 4} -.046912{col 79}{space 3}-.0130281
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0236542{col 38}{space 2} .0094546{col 49}{space 1}   -2.50{col 58}{space 3}0.012{col 66}{space 4}-.0421849{col 79}{space 3}-.0051234
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1430953{col 38}{space 2} .0155682{col 49}{space 1}    9.19{col 58}{space 3}0.000{col 66}{space 4} .1125821{col 79}{space 3} .1736084
{txt}{space 19}2021  {c |}{col 26}{res}{space 2}  .194211{col 38}{space 2} .0141291{col 49}{space 1}   13.75{col 58}{space 3}0.000{col 66}{space 4} .1665185{col 79}{space 3} .2219035
{txt}{space 19}2022  {c |}{col 26}{res}{space 2} .1641424{col 38}{space 2} .0163972{col 49}{space 1}   10.01{col 58}{space 3}0.000{col 66}{space 4} .1320045{col 79}{space 3} .1962804
{txt}{space 24} {c |}
adoptcohort_2002_itadopt {c |}{col 26}{res}{space 2} .0600984{col 38}{space 2} .0104481{col 49}{space 1}    5.75{col 58}{space 3}0.000{col 66}{space 4} .0396205{col 79}{space 3} .0805763
{txt}adoptcohort_2004_itadopt {c |}{col 26}{res}{space 2}-.0169286{col 38}{space 2}  .008551{col 49}{space 1}   -1.98{col 58}{space 3}0.048{col 66}{space 4}-.0336882{col 79}{space 3} -.000169
{txt}adoptcohort_2006_itadopt {c |}{col 26}{res}{space 2} .0096773{col 38}{space 2} .0080529{col 49}{space 1}    1.20{col 58}{space 3}0.229{col 66}{space 4}-.0061061{col 79}{space 3} .0254607
{txt}adoptcohort_2007_itadopt {c |}{col 26}{res}{space 2}-.0027573{col 38}{space 2} .0074628{col 49}{space 1}   -0.37{col 58}{space 3}0.712{col 66}{space 4}-.0173841{col 79}{space 3} .0118695
{txt}adoptcohort_2009_itadopt {c |}{col 26}{res}{space 2}-.0296114{col 38}{space 2} .0100408{col 49}{space 1}   -2.95{col 58}{space 3}0.003{col 66}{space 4} -.049291{col 79}{space 3}-.0099318
{txt}adoptcohort_2010_itadopt {c |}{col 26}{res}{space 2} .0270295{col 38}{space 2} .0090636{col 49}{space 1}    2.98{col 58}{space 3}0.003{col 66}{space 4} .0092652{col 79}{space 3} .0447938
{txt}adoptcohort_2013_itadopt {c |}{col 26}{res}{space 2} .0369003{col 38}{space 2} .0076069{col 49}{space 1}    4.85{col 58}{space 3}0.000{col 66}{space 4}  .021991{col 79}{space 3} .0518095
{txt}adoptcohort_2014_itadopt {c |}{col 26}{res}{space 2}  .032133{col 38}{space 2} .0140321{col 49}{space 1}    2.29{col 58}{space 3}0.022{col 66}{space 4} .0046306{col 79}{space 3} .0596354
{txt}adoptcohort_2015_itadopt {c |}{col 26}{res}{space 2}-.0235744{col 38}{space 2} .0088845{col 49}{space 1}   -2.65{col 58}{space 3}0.008{col 66}{space 4}-.0409878{col 79}{space 3}-.0061611
{txt}adoptcohort_2016_itadopt {c |}{col 26}{res}{space 2} .0468483{col 38}{space 2} .0150154{col 49}{space 1}    3.12{col 58}{space 3}0.002{col 66}{space 4} .0174187{col 79}{space 3} .0762779
{txt}adoptcohort_2017_itadopt {c |}{col 26}{res}{space 2} .0576474{col 38}{space 2} .0109388{col 49}{space 1}    5.27{col 58}{space 3}0.000{col 66}{space 4} .0362077{col 79}{space 3} .0790871
{txt}adoptcohort_2018_itadopt {c |}{col 26}{res}{space 2}-.0170357{col 38}{space 2} .0185557{col 49}{space 1}   -0.92{col 58}{space 3}0.359{col 66}{space 4}-.0534042{col 79}{space 3} .0193327
{txt}adoptcohort_2020_itadopt {c |}{col 26}{res}{space 2} .1979759{col 38}{space 2} .0258896{col 49}{space 1}    7.65{col 58}{space 3}0.000{col 66}{space 4} .1472333{col 79}{space 3} .2487185
{txt}adoptcohort_2021_itadopt {c |}{col 26}{res}{space 2} .2232349{col 38}{space 2} .0623062{col 49}{space 1}    3.58{col 58}{space 3}0.000{col 66}{space 4} .1011169{col 79}{space 3} .3453529
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. * [MODEL 4] FIGURE 4A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_1==1 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,846}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(1 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.98{col 49}{space 2}   0.3229
{txt}{space 11}(1 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.89{col 49}{space 2}   0.1697
{txt}{space 11}(1 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.98{col 49}{space 2}   0.0145
{txt}{space 11}(1 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.18{col 49}{space 2}   0.0129
{txt}{space 11}(1 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.13{col 49}{space 2}   0.0235
{txt}{space 11}(1 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.96{col 49}{space 2}   0.0467
{txt}{space 11}(1 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.76{col 49}{space 2}   0.0964
{txt}{space 11}(1 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.60{col 49}{space 2}   0.2055
{txt}{space 11}(1 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.60{col 49}{space 2}   0.4386
{txt}{space 11}(1 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.03{col 49}{space 2}   0.8663
{txt}{space 11}(1 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.30{col 49}{space 2}   0.5863
{txt}{space 11}(1 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.69{col 49}{space 2}   0.1942
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(1 vs 0)  1  {c |}{col 25}{res}{space 2} .0034188{col 37}{space 2} .0034589{col 48}{space 5}-.0033605{col 62}{space 3} .0101981
{txt}{space 11}(1 vs 0)  2  {c |}{col 25}{res}{space 2} .0046212{col 37}{space 2} .0033656{col 48}{space 5}-.0019753{col 62}{space 3} .0112177
{txt}{space 11}(1 vs 0)  3  {c |}{col 25}{res}{space 2}  .009603{col 37}{space 2} .0039269{col 48}{space 5} .0019064{col 62}{space 3} .0172996
{txt}{space 11}(1 vs 0)  4  {c |}{col 25}{res}{space 2} .0134626{col 37}{space 2} .0054169{col 48}{space 5} .0028457{col 62}{space 3} .0240794
{txt}{space 11}(1 vs 0)  5  {c |}{col 25}{res}{space 2} .0152396{col 37}{space 2}  .006727{col 48}{space 5} .0020549{col 62}{space 3} .0284242
{txt}{space 11}(1 vs 0)  6  {c |}{col 25}{res}{space 2} .0151758{col 37}{space 2} .0076302{col 48}{space 5}  .000221{col 62}{space 3} .0301306
{txt}{space 11}(1 vs 0)  7  {c |}{col 25}{res}{space 2} .0135131{col 37}{space 2} .0081285{col 48}{space 5}-.0024184{col 62}{space 3} .0294447
{txt}{space 11}(1 vs 0)  8  {c |}{col 25}{res}{space 2} .0104935{col 37}{space 2} .0082883{col 48}{space 5}-.0057513{col 62}{space 3} .0267383
{txt}{space 11}(1 vs 0)  9  {c |}{col 25}{res}{space 2} .0063588{col 37}{space 2} .0082095{col 48}{space 5}-.0097315{col 62}{space 3}  .022449
{txt}{space 11}(1 vs 0) 10  {c |}{col 25}{res}{space 2} .0013508{col 37}{space 2} .0080212{col 48}{space 5}-.0143704{col 62}{space 3} .0170721
{txt}{space 11}(1 vs 0) 11  {c |}{col 25}{res}{space 2}-.0042884{col 37}{space 2} .0078793{col 48}{space 5}-.0197314{col 62}{space 3} .0111547
{txt}{space 11}(1 vs 0) 12  {c |}{col 25}{res}{space 2} -.010317{col 37}{space 2}  .007947{col 48}{space 5}-.0258928{col 62}{space 3} .0052587
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 4A{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4A.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4A.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4A.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. *
. 
. * [MODEL 4] FIGURE 4B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,058}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    48.39{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    56.12{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    37.48{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    20.51{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    15.54{col 49}{space 2}   0.0001
{txt}{space 11}(2 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    13.97{col 49}{space 2}   0.0002
{txt}{space 11}(2 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    13.71{col 49}{space 2}   0.0002
{txt}{space 11}(2 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    14.08{col 49}{space 2}   0.0002
{txt}{space 11}(2 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    14.62{col 49}{space 2}   0.0001
{txt}{space 11}(2 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    14.88{col 49}{space 2}   0.0001
{txt}{space 11}(2 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    14.32{col 49}{space 2}   0.0002
{txt}{space 11}(2 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    12.57{col 49}{space 2}   0.0004
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 0)  1  {c |}{col 25}{res}{space 2}-.0228298{col 37}{space 2} .0032819{col 48}{space 5}-.0292621{col 62}{space 3}-.0163974
{txt}{space 11}(2 vs 0)  2  {c |}{col 25}{res}{space 2}-.0236802{col 37}{space 2} .0031611{col 48}{space 5}-.0298758{col 62}{space 3}-.0174845
{txt}{space 11}(2 vs 0)  3  {c |}{col 25}{res}{space 2}-.0277408{col 37}{space 2} .0045312{col 48}{space 5}-.0366218{col 62}{space 3}-.0188598
{txt}{space 11}(2 vs 0)  4  {c |}{col 25}{res}{space 2} -.032146{col 37}{space 2} .0070989{col 48}{space 5}-.0460596{col 62}{space 3}-.0182324
{txt}{space 11}(2 vs 0)  5  {c |}{col 25}{res}{space 2}-.0359697{col 37}{space 2} .0091236{col 48}{space 5}-.0538517{col 62}{space 3}-.0180877
{txt}{space 11}(2 vs 0)  6  {c |}{col 25}{res}{space 2}-.0391363{col 37}{space 2} .0104724{col 48}{space 5}-.0596619{col 62}{space 3}-.0186108
{txt}{space 11}(2 vs 0)  7  {c |}{col 25}{res}{space 2}-.0415703{col 37}{space 2} .0112255{col 48}{space 5}-.0635719{col 62}{space 3}-.0195688
{txt}{space 11}(2 vs 0)  8  {c |}{col 25}{res}{space 2} -.043196{col 37}{space 2} .0115133{col 48}{space 5}-.0657617{col 62}{space 3}-.0206303
{txt}{space 11}(2 vs 0)  9  {c |}{col 25}{res}{space 2}-.0439378{col 37}{space 2} .0114918{col 48}{space 5}-.0664614{col 62}{space 3}-.0214142
{txt}{space 11}(2 vs 0) 10  {c |}{col 25}{res}{space 2}-.0437201{col 37}{space 2} .0113351{col 48}{space 5}-.0659364{col 62}{space 3}-.0215038
{txt}{space 11}(2 vs 0) 11  {c |}{col 25}{res}{space 2}-.0424673{col 37}{space 2} .0112225{col 48}{space 5}-.0644629{col 62}{space 3}-.0204716
{txt}{space 11}(2 vs 0) 12  {c |}{col 25}{res}{space 2}-.0401037{col 37}{space 2}  .011312{col 48}{space 5}-.0622749{col 62}{space 3}-.0179326
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Appointed Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 4B{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Appointed Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4B.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4B.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4B.04-18-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 4] FIGURE 4C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,464}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.59{col 49}{space 2}   0.1072
{txt}{space 11}(3 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.73{col 49}{space 2}   0.1881
{txt}{space 11}(3 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.00{col 49}{space 2}   0.9437
{txt}{space 11}(3 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.44{col 49}{space 2}   0.5057
{txt}{space 11}(3 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.68{col 49}{space 2}   0.4113
{txt}{space 11}(3 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.70{col 49}{space 2}   0.4033
{txt}{space 11}(3 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.61{col 49}{space 2}   0.4338
{txt}{space 11}(3 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.47{col 49}{space 2}   0.4926
{txt}{space 11}(3 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.31{col 49}{space 2}   0.5782
{txt}{space 11}(3 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.16{col 49}{space 2}   0.6901
{txt}{space 11}(3 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.05{col 49}{space 2}   0.8219
{txt}{space 11}(3 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.00{col 49}{space 2}   0.9565
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 0)  1  {c |}{col 25}{res}{space 2}-.0042008{col 37}{space 2}  .002608{col 48}{space 5}-.0093125{col 62}{space 3} .0009109
{txt}{space 11}(3 vs 0)  2  {c |}{col 25}{res}{space 2}  -.00336{col 37}{space 2} .0025528{col 48}{space 5}-.0083634{col 62}{space 3} .0016434
{txt}{space 11}(3 vs 0)  3  {c |}{col 25}{res}{space 2} .0002375{col 37}{space 2} .0033641{col 48}{space 5}-.0063561{col 62}{space 3}  .006831
{txt}{space 11}(3 vs 0)  4  {c |}{col 25}{res}{space 2} .0033266{col 37}{space 2} .0049977{col 48}{space 5}-.0064688{col 62}{space 3} .0131219
{txt}{space 11}(3 vs 0)  5  {c |}{col 25}{res}{space 2} .0052413{col 37}{space 2} .0063795{col 48}{space 5}-.0072623{col 62}{space 3} .0177449
{txt}{space 11}(3 vs 0)  6  {c |}{col 25}{res}{space 2} .0061566{col 37}{space 2} .0073668{col 48}{space 5} -.008282{col 62}{space 3} .0205953
{txt}{space 11}(3 vs 0)  7  {c |}{col 25}{res}{space 2} .0062474{col 37}{space 2} .0079821{col 48}{space 5}-.0093973{col 62}{space 3}  .021892
{txt}{space 11}(3 vs 0)  8  {c |}{col 25}{res}{space 2} .0056884{col 37}{space 2} .0082893{col 48}{space 5}-.0105583{col 62}{space 3} .0219352
{txt}{space 11}(3 vs 0)  9  {c |}{col 25}{res}{space 2} .0046546{col 37}{space 2} .0083722{col 48}{space 5}-.0117547{col 62}{space 3} .0210639
{txt}{space 11}(3 vs 0) 10  {c |}{col 25}{res}{space 2} .0033209{col 37}{space 2} .0083298{col 48}{space 5}-.0130051{col 62}{space 3} .0196469
{txt}{space 11}(3 vs 0) 11  {c |}{col 25}{res}{space 2} .0018621{col 37}{space 2} .0082718{col 48}{space 5}-.0143502{col 62}{space 3} .0180744
{txt}{space 11}(3 vs 0) 12  {c |}{col 25}{res}{space 2} .0004531{col 37}{space 2} .0083085{col 48}{space 5}-.0158312{col 62}{space 3} .0167374
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 4C{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4C.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4C.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4C.04-18-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * [MODEL 4] FIGURE 4D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,922}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    34.80{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    44.22{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    64.90{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    51.49{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    41.39{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    35.52{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    31.45{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    27.83{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    23.82{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    19.00{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    13.42{col 49}{space 2}   0.0002
{txt}{space 11}(2 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.81{col 49}{space 2}   0.0052
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 1)  1  {c |}{col 25}{res}{space 2}-.0262486{col 37}{space 2} .0044496{col 48}{space 5}-.0349696{col 62}{space 3}-.0175275
{txt}{space 11}(2 vs 1)  2  {c |}{col 25}{res}{space 2}-.0283014{col 37}{space 2} .0042557{col 48}{space 5}-.0366425{col 62}{space 3}-.0199603
{txt}{space 11}(2 vs 1)  3  {c |}{col 25}{res}{space 2}-.0373438{col 37}{space 2} .0046356{col 48}{space 5}-.0464295{col 62}{space 3} -.028258
{txt}{space 11}(2 vs 1)  4  {c |}{col 25}{res}{space 2}-.0456086{col 37}{space 2}  .006356{col 48}{space 5} -.058066{col 62}{space 3}-.0331511
{txt}{space 11}(2 vs 1)  5  {c |}{col 25}{res}{space 2}-.0512092{col 37}{space 2} .0079599{col 48}{space 5}-.0668103{col 62}{space 3}-.0356082
{txt}{space 11}(2 vs 1)  6  {c |}{col 25}{res}{space 2}-.0543121{col 37}{space 2} .0091134{col 48}{space 5} -.072174{col 62}{space 3}-.0364502
{txt}{space 11}(2 vs 1)  7  {c |}{col 25}{res}{space 2}-.0550834{col 37}{space 2} .0098222{col 48}{space 5}-.0743346{col 62}{space 3}-.0358323
{txt}{space 11}(2 vs 1)  8  {c |}{col 25}{res}{space 2}-.0536895{col 37}{space 2} .0101779{col 48}{space 5}-.0736379{col 62}{space 3}-.0337411
{txt}{space 11}(2 vs 1)  9  {c |}{col 25}{res}{space 2}-.0502966{col 37}{space 2} .0103048{col 48}{space 5}-.0704937{col 62}{space 3}-.0300995
{txt}{space 11}(2 vs 1) 10  {c |}{col 25}{res}{space 2} -.045071{col 37}{space 2} .0103411{col 48}{space 5}-.0653392{col 62}{space 3}-.0248027
{txt}{space 11}(2 vs 1) 11  {c |}{col 25}{res}{space 2}-.0381789{col 37}{space 2} .0104221{col 48}{space 5}-.0586059{col 62}{space 3}-.0177519
{txt}{space 11}(2 vs 1) 12  {c |}{col 25}{res}{space 2}-.0297867{col 37}{space 2} .0106568{col 48}{space 5}-.0506737{col 62}{space 3}-.0088997
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Appointed Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 4D{c )-}""{c -(}bf:Conditional Adaptation Differential: Prior Appointed Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4D.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4D.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4D.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 4] FIGURE 4E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,328}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.30{col 49}{space 2}   0.0381
{txt}{space 11}(3 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.97{col 49}{space 2}   0.0258
{txt}{space 11}(3 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.77{col 49}{space 2}   0.0093
{txt}{space 11}(3 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.61{col 49}{space 2}   0.0179
{txt}{space 11}(3 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.81{col 49}{space 2}   0.0510
{txt}{space 11}(3 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.36{col 49}{space 2}   0.1246
{txt}{space 11}(3 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.27{col 49}{space 2}   0.2605
{txt}{space 11}(3 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.49{col 49}{space 2}   0.4847
{txt}{space 11}(3 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.06{col 49}{space 2}   0.8118
{txt}{space 11}(3 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.07{col 49}{space 2}   0.7883
{txt}{space 11}(3 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.68{col 49}{space 2}   0.4099
{txt}{space 11}(3 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.01{col 49}{space 2}   0.1561
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 1)  1  {c |}{col 25}{res}{space 2}-.0076196{col 37}{space 2} .0036744{col 48}{space 5}-.0148213{col 62}{space 3}-.0004179
{txt}{space 11}(3 vs 1)  2  {c |}{col 25}{res}{space 2}-.0079812{col 37}{space 2}   .00358{col 48}{space 5}-.0149979{col 62}{space 3}-.0009645
{txt}{space 11}(3 vs 1)  3  {c |}{col 25}{res}{space 2}-.0093655{col 37}{space 2} .0035986{col 48}{space 5}-.0164187{col 62}{space 3}-.0023123
{txt}{space 11}(3 vs 1)  4  {c |}{col 25}{res}{space 2} -.010136{col 37}{space 2} .0042804{col 48}{space 5}-.0185254{col 62}{space 3}-.0017467
{txt}{space 11}(3 vs 1)  5  {c |}{col 25}{res}{space 2}-.0099982{col 37}{space 2} .0051234{col 48}{space 5}-.0200398{col 62}{space 3} .0000433
{txt}{space 11}(3 vs 1)  6  {c |}{col 25}{res}{space 2}-.0090191{col 37}{space 2} .0058724{col 48}{space 5}-.0205288{col 62}{space 3} .0024906
{txt}{space 11}(3 vs 1)  7  {c |}{col 25}{res}{space 2}-.0072657{col 37}{space 2} .0064575{col 48}{space 5}-.0199222{col 62}{space 3} .0053907
{txt}{space 11}(3 vs 1)  8  {c |}{col 25}{res}{space 2}-.0048051{col 37}{space 2} .0068766{col 48}{space 5}-.0182831{col 62}{space 3} .0086729
{txt}{space 11}(3 vs 1)  9  {c |}{col 25}{res}{space 2}-.0017041{col 37}{space 2} .0071558{col 48}{space 5}-.0157291{col 62}{space 3} .0123209
{txt}{space 11}(3 vs 1) 10  {c |}{col 25}{res}{space 2} .0019701{col 37}{space 2} .0073351{col 48}{space 5}-.0124065{col 62}{space 3} .0163466
{txt}{space 11}(3 vs 1) 11  {c |}{col 25}{res}{space 2} .0061505{col 37}{space 2} .0074635{col 48}{space 5}-.0084777{col 62}{space 3} .0207787
{txt}{space 11}(3 vs 1) 12  {c |}{col 25}{res}{space 2} .0107701{col 37}{space 2} .0075936{col 48}{space 5}-.0041131{col 62}{space 3} .0256534
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 4E{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4E.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4E.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4E.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 4] FIGURE 4F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==2|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,540}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 2)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    24.86{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    32.53{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    45.31{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    34.58{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    28.77{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    26.19{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    25.01{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    24.34{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    23.60{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    22.27{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    19.96{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    16.58{col 49}{space 2}   0.0000
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 2)  1  {c |}{col 25}{res}{space 2} .0186289{col 37}{space 2}  .003736{col 48}{space 5} .0113066{col 62}{space 3} .0259513
{txt}{space 11}(3 vs 2)  2  {c |}{col 25}{res}{space 2} .0203202{col 37}{space 2} .0035628{col 48}{space 5} .0133373{col 62}{space 3} .0273031
{txt}{space 11}(3 vs 2)  3  {c |}{col 25}{res}{space 2} .0279783{col 37}{space 2} .0041564{col 48}{space 5} .0198318{col 62}{space 3} .0361247
{txt}{space 11}(3 vs 2)  4  {c |}{col 25}{res}{space 2} .0354725{col 37}{space 2} .0060323{col 48}{space 5} .0236493{col 62}{space 3} .0472957
{txt}{space 11}(3 vs 2)  5  {c |}{col 25}{res}{space 2}  .041211{col 37}{space 2} .0076828{col 48}{space 5}  .026153{col 62}{space 3}  .056269
{txt}{space 11}(3 vs 2)  6  {c |}{col 25}{res}{space 2}  .045293{col 37}{space 2} .0088505{col 48}{space 5} .0279464{col 62}{space 3} .0626396
{txt}{space 11}(3 vs 2)  7  {c |}{col 25}{res}{space 2} .0478177{col 37}{space 2} .0095619{col 48}{space 5} .0290766{col 62}{space 3} .0665588
{txt}{space 11}(3 vs 2)  8  {c |}{col 25}{res}{space 2} .0488844{col 37}{space 2} .0099082{col 48}{space 5} .0294647{col 62}{space 3} .0683042
{txt}{space 11}(3 vs 2)  9  {c |}{col 25}{res}{space 2} .0485924{col 37}{space 2}  .010003{col 48}{space 5} .0289869{col 62}{space 3}  .068198
{txt}{space 11}(3 vs 2) 10  {c |}{col 25}{res}{space 2}  .047041{col 37}{space 2} .0099684{col 48}{space 5} .0275033{col 62}{space 3} .0665788
{txt}{space 11}(3 vs 2) 11  {c |}{col 25}{res}{space 2} .0443294{col 37}{space 2} .0099224{col 48}{space 5} .0248819{col 62}{space 3} .0637769
{txt}{space 11}(3 vs 2) 12  {c |}{col 25}{res}{space 2} .0405568{col 37}{space 2} .0099616{col 48}{space 5} .0210324{col 62}{space 3} .0600813
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative  - Prior Appointed Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 4F{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Appointed Administrative{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4F.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4F.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 4.FIGURE 4F.04-18-2025.gph} saved

{com}. 
. 
. 
. 
. 
. 
. ***************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. 
. 
. 
. 
. *** TESTING H4: INTRA-SECTORAL AGENCY-SPECIFIC HYPOTHESIS [0 = NO PRIOR GOVERNMENT EXPERIENCE; 1 = PRIOR GOVERNMENT EXPERIENCE RESTRICTED TO ONLY ELECTED OFFICE OR WORKING ON BEHALF OF ELECTED OFFICIAL VIA STAFF; = 2 PRIOR GOVERNMENT EXPERIENCE RESTRICTED ONLY TO NON-UIP AGENCY: APPOINTED OR CIVIL/NON-APPOINTED POSITION; = 3 PRIOR GOVERNMENT EXPERIENCE: IN UIP AGENCY: APPOINTED OR CIVIL SERVANT/NON-APPOINTED AGENCY POSITION] ***
. 
. 
. 
. ** GENERATE BINARY INDICATOR VARIABLES BY TYPE OF PRIOR EXPERIENCE CONSONANT WITH TESTING H4 ** 
. 
. gen agencyhead_uipadmin = 1 if  agencyhead_gov5==1 | agencyhead_gov6==1
{txt}(9,165 missing values generated)

{com}. replace  agencyhead_uipadmin = 0 if  missing(agencyhead_uipadmin)
{txt}(9,165 real changes made)

{com}. *
. *
. gen agencyhead_nonuipadmin = 1 if  agencyhead_gov3==1 | agencyhead_gov4==1
{txt}(7,338 missing values generated)

{com}. replace  agencyhead_nonuipadmin = 0 if  missing(agencyhead_nonuipadmin) 
{txt}(7,338 real changes made)

{com}. *
. *
. * NOTE: no need to generate agencyhead_polrelated since done previously for H3 *
. *
. *
. *
. 
. 
. 
. *** MODELS DISTINGUISHING BETWEEN ALTERNATIVE TYPES OF PRIOR AGENCY HEAD EXPERIENCE ***
. 
. gen agencyhead_govord_2=.
{txt}(12,551 missing values generated)

{com}. 
. 
. ** NO PRIOR GOVERNMENT EXPERIENCE [= 0] **
. replace agencyhead_govord_2=0 if agencyhead_gov0==0
{txt}(3,191 real changes made)

{com}. 
. 
. ** PRIOR GOVERNMENT-POLITICAL RELATED EXPERIENCE ONLY [= 1; ELECTED OFFICIAL OR SERVING ON BEHALF OF ELECTED OFFICAL (STAFF OR NON-LINE AGENCY POSITION)] **
. replace agencyhead_govord_2=1 if agencyhead_polrelated==1 & agencyhead_nonuipadmin==0 & agencyhead_uipadmin==0
{txt}(1,816 real changes made)

{com}. 
. 
. ** PRIOR GOVERNMENT NON-UIP ADMINISTRATIVE AGENCY EXPERIENCE ONLY [= 2; EXCLUDING UIP ADMINISTRATIVE EXPERIENCE (i.e., = 3): INCLUDES APPOINTED [agencyhead_gov3==1] AND NON-APPOINTED/CIVIL [agencyhead_gov4==1] POSITIONS] **
. replace agencyhead_govord_2=2 if agencyhead_nonuipadmin==1 & agencyhead_uipadmin==0
{txt}(4,158 real changes made)

{com}. 
. 
. ** PRIOR GOVERNMENT UIP ADMINISTRATIVE AGENCY EXPERIENCE ONLY [= 3; INCLUDES  APPOINTED [agencyhead_gov5==1] AND NON-APPOINTED/CIVIL [agencyhead_gov6==1] POSITIONS] **
. replace agencyhead_govord_2=3 if agencyhead_uipadmin==1 
{txt}(3,386 real changes made)

{com}. 
. *
. *
. *
. tab agencyhead_govord_2 if itmod_adopt_state==1 & itmod_monthcount==0

{txt}agencyhead_ {c |}
   govord_2 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,427       32.29       32.29
{txt}          1 {c |}{res}        527       11.93       44.22
{txt}          2 {c |}{res}      1,514       34.26       78.48
{txt}          3 {c |}{res}        951       21.52      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,419      100.00
{txt}
{com}. *
. *
. tab agencyhead_govord_2 if itmod_adopt_state==1 & itmod_monthcount>0

{txt}agencyhead_ {c |}
   govord_2 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        564       19.01       19.01
{txt}          1 {c |}{res}        328       11.05       30.06
{txt}          2 {c |}{res}      1,019       34.34       64.41
{txt}          3 {c |}{res}      1,056       35.59      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,967      100.00
{txt}
{com}. 
. 
. 
. 
. 
. 
. *** NEED TO SAVE MANUSCRIPT WITH NEWLY CREATED AGENCY LEADER MEASURES ABOVE ***
. 
. save "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Data\Implementation Delay.MANUSCRIPT Database.04-18-2025.dta", replace
{txt}{p 0 4 2}
file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Data\Implementation Delay.MANUSCRIPT Database.04-18-2025.dta{rm}
saved
{p_end}

{com}. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. 
. **** TABLE 1 -- MODELS 5 & 6: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JULY 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
. ***            (MODELS 5-6; FIGURES 5A-5F; 6A-6F)
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. *** ESTIMATE MODEL 5: 14 DAYS OR LESS [DELAY] [MODEL 5 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: ORGANIZATIONAL LEARNING [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** [FIGURES 5A-5F]
. 
. 
. npregress series delay_14days  itmod_monthcount i.agencyhead_govord_2 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)   vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}310{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}320{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}330{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}340{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}350{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}360{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}370{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}380{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}390{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}400{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}410{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}420{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}430{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}440{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}450{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}460{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}470{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}480{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}490{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}500{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}510{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}520{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}530{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}540{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}550{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}560{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}570{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}580{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}590{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}600{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}610{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}620{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}630{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}640{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}650{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}660{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}670{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}680{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}690{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}700{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}710{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}720{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}730{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}740{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}750{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}760{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}770{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}780{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}790{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}800{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}810{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}820{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}830{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}840{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}850{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}860{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}870{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}880{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}890{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}900{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}910{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}920{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}930{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}940{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}950{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}960{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}970{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}980{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}990{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}1,000{text} done
{res}
{txt}Cubic B-spline estimation {col 44}Number of obs      =  {res}        7,386
{txt}Criterion: {res:cross validation}{col 44}Number of knots    =  {res}            1
{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}   Observed{col 38}   Bootstrap{col 66}         Norm{col 79}al-based
{col 1}            delay_14days{col 26}{c |}     effect{col 38}   std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2} .0017761{col 38}{space 2} .0002813{col 49}{space 1}    6.31{col 58}{space 3}0.000{col 66}{space 4} .0012247{col 79}{space 3} .0023275
{txt}{space 24} {c |}
{space 5}agencyhead_govord_2 {c |}
{space 22}1  {c |}{col 26}{res}{space 2}-.0135193{col 38}{space 2} .0043073{col 49}{space 1}   -3.14{col 58}{space 3}0.002{col 66}{space 4}-.0219614{col 79}{space 3}-.0050772
{txt}{space 22}2  {c |}{col 26}{res}{space 2}-.0101344{col 38}{space 2} .0038607{col 49}{space 1}   -2.63{col 58}{space 3}0.009{col 66}{space 4}-.0177013{col 79}{space 3}-.0025676
{txt}{space 22}3  {c |}{col 26}{res}{space 2} .0177187{col 38}{space 2} .0044359{col 49}{space 1}    3.99{col 58}{space 3}0.000{col 66}{space 4} .0090245{col 79}{space 3}  .026413
{txt}{space 24} {c |}
{space 7}agencyhead_tenure {c |}{col 26}{res}{space 2}-.0000176{col 38}{space 2} .0000442{col 49}{space 1}   -0.40{col 58}{space 3}0.690{col 66}{space 4}-.0001042{col 79}{space 3}  .000069
{txt}{space 10}automationrate {c |}{col 26}{res}{space 2}-.0723598{col 38}{space 2}  .009621{col 49}{space 1}   -7.52{col 58}{space 3}0.000{col 66}{space 4}-.0912167{col 79}{space 3} -.053503
{txt}{space 13}wstaff_load {c |}{col 26}{res}{space 2} 6.65e-06{col 38}{space 2} 8.43e-07{col 49}{space 1}    7.89{col 58}{space 3}0.000{col 66}{space 4} 5.00e-06{col 79}{space 3} 8.30e-06
{txt}{space 13}staff_tdiff {c |}{col 26}{res}{space 2}-.2942874{col 38}{space 2} .0571216{col 49}{space 1}   -5.15{col 58}{space 3}0.000{col 66}{space 4}-.4062436{col 79}{space 3}-.1823312
{txt}{space 14}unemp_rate {c |}{col 26}{res}{space 2}-.0079064{col 38}{space 2} .0015079{col 49}{space 1}   -5.24{col 58}{space 3}0.000{col 66}{space 4}-.0108618{col 79}{space 3} -.004951
{txt}{space 1}function_sup_avgsalreal {c |}{col 26}{res}{space 2} 7.11e-07{col 38}{space 2} 2.02e-07{col 49}{space 1}    3.52{col 58}{space 3}0.000{col 66}{space 4} 3.15e-07{col 79}{space 3} 1.11e-06
{txt}{space 24} {c |}
{space 17}stateid {c |}
{space 22}5  {c |}{col 26}{res}{space 2}-.0683092{col 38}{space 2} .0086313{col 49}{space 1}   -7.91{col 58}{space 3}0.000{col 66}{space 4}-.0852262{col 79}{space 3}-.0513923
{txt}{space 22}6  {c |}{col 26}{res}{space 2} .0150531{col 38}{space 2} .0114961{col 49}{space 1}    1.31{col 58}{space 3}0.190{col 66}{space 4}-.0074789{col 79}{space 3} .0375851
{txt}{space 22}9  {c |}{col 26}{res}{space 2}   .00806{col 38}{space 2} .0091548{col 49}{space 1}    0.88{col 58}{space 3}0.379{col 66}{space 4}-.0098832{col 79}{space 3} .0260031
{txt}{space 21}12  {c |}{col 26}{res}{space 2} .1343422{col 38}{space 2} .0106915{col 49}{space 1}   12.57{col 58}{space 3}0.000{col 66}{space 4} .1133872{col 79}{space 3} .1552972
{txt}{space 21}13  {c |}{col 26}{res}{space 2} .0322695{col 38}{space 2} .0083529{col 49}{space 1}    3.86{col 58}{space 3}0.000{col 66}{space 4} .0158981{col 79}{space 3} .0486409
{txt}{space 21}14  {c |}{col 26}{res}{space 2}-.0034652{col 38}{space 2} .0110892{col 49}{space 1}   -0.31{col 58}{space 3}0.755{col 66}{space 4}-.0251996{col 79}{space 3} .0182693
{txt}{space 21}18  {c |}{col 26}{res}{space 2}-.0268033{col 38}{space 2}  .011762{col 49}{space 1}   -2.28{col 58}{space 3}0.023{col 66}{space 4}-.0498564{col 79}{space 3}-.0037501
{txt}{space 21}19  {c |}{col 26}{res}{space 2} .0326687{col 38}{space 2} .0092993{col 49}{space 1}    3.51{col 58}{space 3}0.000{col 66}{space 4} .0144424{col 79}{space 3}  .050895
{txt}{space 21}20  {c |}{col 26}{res}{space 2}-.0930359{col 38}{space 2} .0092637{col 49}{space 1}  -10.04{col 58}{space 3}0.000{col 66}{space 4}-.1111924{col 79}{space 3}-.0748795
{txt}{space 21}21  {c |}{col 26}{res}{space 2}-.1212526{col 38}{space 2} .0116428{col 49}{space 1}  -10.41{col 58}{space 3}0.000{col 66}{space 4}-.1440721{col 79}{space 3}-.0984332
{txt}{space 21}22  {c |}{col 26}{res}{space 2}-.1228029{col 38}{space 2} .0093354{col 49}{space 1}  -13.15{col 58}{space 3}0.000{col 66}{space 4}   -.1411{col 79}{space 3}-.1045058
{txt}{space 21}23  {c |}{col 26}{res}{space 2} .0444306{col 38}{space 2} .0098634{col 49}{space 1}    4.50{col 58}{space 3}0.000{col 66}{space 4} .0250988{col 79}{space 3} .0637624
{txt}{space 21}24  {c |}{col 26}{res}{space 2}-.0556568{col 38}{space 2} .0137345{col 49}{space 1}   -4.05{col 58}{space 3}0.000{col 66}{space 4} -.082576{col 79}{space 3}-.0287377
{txt}{space 21}25  {c |}{col 26}{res}{space 2} .0135263{col 38}{space 2} .0091655{col 49}{space 1}    1.48{col 58}{space 3}0.140{col 66}{space 4}-.0044377{col 79}{space 3} .0314902
{txt}{space 21}27  {c |}{col 26}{res}{space 2}  .018506{col 38}{space 2} .0104341{col 49}{space 1}    1.77{col 58}{space 3}0.076{col 66}{space 4}-.0019444{col 79}{space 3} .0389564
{txt}{space 21}28  {c |}{col 26}{res}{space 2}-.0986961{col 38}{space 2} .0088376{col 49}{space 1}  -11.17{col 58}{space 3}0.000{col 66}{space 4}-.1160175{col 79}{space 3}-.0813746
{txt}{space 21}29  {c |}{col 26}{res}{space 2}-.1216767{col 38}{space 2}   .01472{col 49}{space 1}   -8.27{col 58}{space 3}0.000{col 66}{space 4}-.1505273{col 79}{space 3}-.0928261
{txt}{space 21}31  {c |}{col 26}{res}{space 2} .0970562{col 38}{space 2} .0122648{col 49}{space 1}    7.91{col 58}{space 3}0.000{col 66}{space 4} .0730176{col 79}{space 3} .1210947
{txt}{space 21}33  {c |}{col 26}{res}{space 2} -.080619{col 38}{space 2}  .009827{col 49}{space 1}   -8.20{col 58}{space 3}0.000{col 66}{space 4}-.0998796{col 79}{space 3}-.0613583
{txt}{space 21}35  {c |}{col 26}{res}{space 2} .0404829{col 38}{space 2} .0087104{col 49}{space 1}    4.65{col 58}{space 3}0.000{col 66}{space 4} .0234109{col 79}{space 3}  .057555
{txt}{space 21}38  {c |}{col 26}{res}{space 2} .0260984{col 38}{space 2} .0087251{col 49}{space 1}    2.99{col 58}{space 3}0.003{col 66}{space 4} .0089974{col 79}{space 3} .0431993
{txt}{space 21}40  {c |}{col 26}{res}{space 2} .0539265{col 38}{space 2}  .010467{col 49}{space 1}    5.15{col 58}{space 3}0.000{col 66}{space 4} .0334116{col 79}{space 3} .0744415
{txt}{space 21}42  {c |}{col 26}{res}{space 2}-.0174021{col 38}{space 2} .0110529{col 49}{space 1}   -1.57{col 58}{space 3}0.115{col 66}{space 4}-.0390655{col 79}{space 3} .0042612
{txt}{space 21}44  {c |}{col 26}{res}{space 2} .1094888{col 38}{space 2} .0079834{col 49}{space 1}   13.71{col 58}{space 3}0.000{col 66}{space 4} .0938415{col 79}{space 3}  .125136
{txt}{space 21}46  {c |}{col 26}{res}{space 2}-.0052165{col 38}{space 2}   .00998{col 49}{space 1}   -0.52{col 58}{space 3}0.601{col 66}{space 4} -.024777{col 79}{space 3}  .014344
{txt}{space 21}47  {c |}{col 26}{res}{space 2} .0424148{col 38}{space 2} .0085579{col 49}{space 1}    4.96{col 58}{space 3}0.000{col 66}{space 4} .0256417{col 79}{space 3} .0591879
{txt}{space 21}50  {c |}{col 26}{res}{space 2} .0566268{col 38}{space 2} .0148767{col 49}{space 1}    3.81{col 58}{space 3}0.000{col 66}{space 4}  .027469{col 79}{space 3} .0857845
{txt}{space 21}51  {c |}{col 26}{res}{space 2} .0250302{col 38}{space 2} .0104559{col 49}{space 1}    2.39{col 58}{space 3}0.017{col 66}{space 4} .0045369{col 79}{space 3} .0455234
{txt}{space 21}52  {c |}{col 26}{res}{space 2} .0147835{col 38}{space 2} .0093768{col 49}{space 1}    1.58{col 58}{space 3}0.115{col 66}{space 4}-.0035947{col 79}{space 3} .0331617
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2} .0284868{col 38}{space 2} .0067834{col 49}{space 1}    4.20{col 58}{space 3}0.000{col 66}{space 4} .0151915{col 79}{space 3} .0417821
{txt}{space 19}2004  {c |}{col 26}{res}{space 2} .0403221{col 38}{space 2}  .006732{col 49}{space 1}    5.99{col 58}{space 3}0.000{col 66}{space 4} .0271276{col 79}{space 3} .0535166
{txt}{space 19}2005  {c |}{col 26}{res}{space 2}  .029217{col 38}{space 2}   .00775{col 49}{space 1}    3.77{col 58}{space 3}0.000{col 66}{space 4} .0140273{col 79}{space 3} .0444067
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .0265001{col 38}{space 2}   .00728{col 49}{space 1}    3.64{col 58}{space 3}0.000{col 66}{space 4} .0122315{col 79}{space 3} .0407687
{txt}{space 19}2007  {c |}{col 26}{res}{space 2} .0327966{col 38}{space 2} .0074179{col 49}{space 1}    4.42{col 58}{space 3}0.000{col 66}{space 4} .0182578{col 79}{space 3} .0473353
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}  .029731{col 38}{space 2} .0075291{col 49}{space 1}    3.95{col 58}{space 3}0.000{col 66}{space 4} .0149743{col 79}{space 3} .0444878
{txt}{space 19}2009  {c |}{col 26}{res}{space 2} .0157939{col 38}{space 2}  .009149{col 49}{space 1}    1.73{col 58}{space 3}0.084{col 66}{space 4}-.0021378{col 79}{space 3} .0337255
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0232675{col 38}{space 2} .0102004{col 49}{space 1}    2.28{col 58}{space 3}0.023{col 66}{space 4} .0032751{col 79}{space 3} .0432599
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0331369{col 38}{space 2} .0093635{col 49}{space 1}    3.54{col 58}{space 3}0.000{col 66}{space 4} .0147847{col 79}{space 3} .0514891
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0087272{col 38}{space 2} .0098732{col 49}{space 1}    0.88{col 58}{space 3}0.377{col 66}{space 4}-.0106239{col 79}{space 3} .0280783
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0097197{col 38}{space 2} .0099189{col 49}{space 1}    0.98{col 58}{space 3}0.327{col 66}{space 4} -.009721{col 79}{space 3} .0291604
{txt}{space 19}2014  {c |}{col 26}{res}{space 2} .0354601{col 38}{space 2} .0099829{col 49}{space 1}    3.55{col 58}{space 3}0.000{col 66}{space 4}  .015894{col 79}{space 3} .0550263
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0444536{col 38}{space 2} .0096213{col 49}{space 1}    4.62{col 58}{space 3}0.000{col 66}{space 4} .0255962{col 79}{space 3} .0633111
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0509699{col 38}{space 2} .0099732{col 49}{space 1}    5.11{col 58}{space 3}0.000{col 66}{space 4} .0314228{col 79}{space 3} .0705171
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0567985{col 38}{space 2} .0101493{col 49}{space 1}    5.60{col 58}{space 3}0.000{col 66}{space 4} .0369062{col 79}{space 3} .0766908
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0585125{col 38}{space 2} .0108816{col 49}{space 1}    5.38{col 58}{space 3}0.000{col 66}{space 4}  .037185{col 79}{space 3} .0798401
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0537097{col 38}{space 2} .0116789{col 49}{space 1}    4.60{col 58}{space 3}0.000{col 66}{space 4} .0308195{col 79}{space 3} .0765999
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.1396343{col 38}{space 2} .0173855{col 49}{space 1}   -8.03{col 58}{space 3}0.000{col 66}{space 4}-.1737093{col 79}{space 3}-.1055593
{txt}{space 19}2021  {c |}{col 26}{res}{space 2}-.2011548{col 38}{space 2} .0158534{col 49}{space 1}  -12.69{col 58}{space 3}0.000{col 66}{space 4}-.2322269{col 79}{space 3}-.1700827
{txt}{space 19}2022  {c |}{col 26}{res}{space 2}-.1508456{col 38}{space 2} .0179793{col 49}{space 1}   -8.39{col 58}{space 3}0.000{col 66}{space 4}-.1860844{col 79}{space 3}-.1156067
{txt}{space 24} {c |}
adoptcohort_2002_itadopt {c |}{col 26}{res}{space 2}-.1267904{col 38}{space 2} .0145354{col 49}{space 1}   -8.72{col 58}{space 3}0.000{col 66}{space 4}-.1552794{col 79}{space 3}-.0983015
{txt}adoptcohort_2004_itadopt {c |}{col 26}{res}{space 2}-.0207575{col 38}{space 2} .0112071{col 49}{space 1}   -1.85{col 58}{space 3}0.064{col 66}{space 4} -.042723{col 79}{space 3}  .001208
{txt}adoptcohort_2006_itadopt {c |}{col 26}{res}{space 2} -.061083{col 38}{space 2} .0098949{col 49}{space 1}   -6.17{col 58}{space 3}0.000{col 66}{space 4}-.0804765{col 79}{space 3}-.0416894
{txt}adoptcohort_2007_itadopt {c |}{col 26}{res}{space 2}-.0277181{col 38}{space 2} .0093289{col 49}{space 1}   -2.97{col 58}{space 3}0.003{col 66}{space 4}-.0460025{col 79}{space 3}-.0094337
{txt}adoptcohort_2009_itadopt {c |}{col 26}{res}{space 2} .0829312{col 38}{space 2} .0139446{col 49}{space 1}    5.95{col 58}{space 3}0.000{col 66}{space 4} .0556003{col 79}{space 3}  .110262
{txt}adoptcohort_2010_itadopt {c |}{col 26}{res}{space 2}-.0654069{col 38}{space 2}  .012467{col 49}{space 1}   -5.25{col 58}{space 3}0.000{col 66}{space 4}-.0898418{col 79}{space 3}-.0409721
{txt}adoptcohort_2013_itadopt {c |}{col 26}{res}{space 2}-.0663248{col 38}{space 2} .0097903{col 49}{space 1}   -6.77{col 58}{space 3}0.000{col 66}{space 4}-.0855135{col 79}{space 3}-.0471361
{txt}adoptcohort_2014_itadopt {c |}{col 26}{res}{space 2}-.0727182{col 38}{space 2} .0172885{col 49}{space 1}   -4.21{col 58}{space 3}0.000{col 66}{space 4} -.106603{col 79}{space 3}-.0388334
{txt}adoptcohort_2015_itadopt {c |}{col 26}{res}{space 2}-.0442305{col 38}{space 2} .0122794{col 49}{space 1}   -3.60{col 58}{space 3}0.000{col 66}{space 4}-.0682977{col 79}{space 3}-.0201633
{txt}adoptcohort_2016_itadopt {c |}{col 26}{res}{space 2}-.0787489{col 38}{space 2} .0182732{col 49}{space 1}   -4.31{col 58}{space 3}0.000{col 66}{space 4}-.1145636{col 79}{space 3}-.0429341
{txt}adoptcohort_2017_itadopt {c |}{col 26}{res}{space 2}-.1115776{col 38}{space 2} .0138556{col 49}{space 1}   -8.05{col 58}{space 3}0.000{col 66}{space 4}-.1387341{col 79}{space 3}-.0844211
{txt}adoptcohort_2018_itadopt {c |}{col 26}{res}{space 2} .0333506{col 38}{space 2} .0226195{col 49}{space 1}    1.47{col 58}{space 3}0.140{col 66}{space 4}-.0109827{col 79}{space 3}  .077684
{txt}adoptcohort_2020_itadopt {c |}{col 26}{res}{space 2}-.1703091{col 38}{space 2} .0274192{col 49}{space 1}   -6.21{col 58}{space 3}0.000{col 66}{space 4}-.2240497{col 79}{space 3}-.1165686
{txt}adoptcohort_2021_itadopt {c |}{col 26}{res}{space 2}-.2322456{col 38}{space 2} .0634728{col 49}{space 1}   -3.66{col 58}{space 3}0.000{col 66}{space 4}-.3566499{col 79}{space 3}-.1078413
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 5] FIGURE 5A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_2==1 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,846}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(1 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.73{col 49}{space 2}   0.1887
{txt}{space 11}(1 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.97{col 49}{space 2}   0.0846
{txt}{space 11}(1 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.57{col 49}{space 2}   0.0020
{txt}{space 11}(1 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.11{col 49}{space 2}   0.0009
{txt}{space 11}(1 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.13{col 49}{space 2}   0.0015
{txt}{space 11}(1 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.85{col 49}{space 2}   0.0029
{txt}{space 11}(1 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.52{col 49}{space 2}   0.0061
{txt}{space 11}(1 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.13{col 49}{space 2}   0.0133
{txt}{space 11}(1 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.65{col 49}{space 2}   0.0310
{txt}{space 11}(1 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.11{col 49}{space 2}   0.0778
{txt}{space 11}(1 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.64{col 49}{space 2}   0.1997
{txt}{space 11}(1 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.52{col 49}{space 2}   0.4703
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(1 vs 0)  1  {c |}{col 25}{res}{space 2}-.0064908{col 37}{space 2} .0049377{col 48}{space 5}-.0161686{col 62}{space 3} .0031869
{txt}{space 11}(1 vs 0)  2  {c |}{col 25}{res}{space 2}-.0082225{col 37}{space 2} .0047675{col 48}{space 5}-.0175665{col 62}{space 3} .0011216
{txt}{space 11}(1 vs 0)  3  {c |}{col 25}{res}{space 2}-.0156795{col 37}{space 2} .0050697{col 48}{space 5}-.0256159{col 62}{space 3}-.0057432
{txt}{space 11}(1 vs 0)  4  {c |}{col 25}{res}{space 2}-.0221466{col 37}{space 2} .0066436{col 48}{space 5}-.0351678{col 62}{space 3}-.0091255
{txt}{space 11}(1 vs 0)  5  {c |}{col 25}{res}{space 2}-.0261555{col 37}{space 2} .0082173{col 48}{space 5}-.0422611{col 62}{space 3}-.0100498
{txt}{space 11}(1 vs 0)  6  {c |}{col 25}{res}{space 2}-.0279693{col 37}{space 2}  .009404{col 48}{space 5}-.0464008{col 62}{space 3}-.0095379
{txt}{space 11}(1 vs 0)  7  {c |}{col 25}{res}{space 2}-.0278516{col 37}{space 2}  .010157{col 48}{space 5}-.0477589{col 62}{space 3}-.0079443
{txt}{space 11}(1 vs 0)  8  {c |}{col 25}{res}{space 2}-.0260655{col 37}{space 2}  .010527{col 48}{space 5}-.0466981{col 62}{space 3}-.0054329
{txt}{space 11}(1 vs 0)  9  {c |}{col 25}{res}{space 2}-.0228745{col 37}{space 2} .0106065{col 48}{space 5}-.0436627{col 62}{space 3}-.0020862
{txt}{space 11}(1 vs 0) 10  {c |}{col 25}{res}{space 2}-.0185417{col 37}{space 2} .0105151{col 48}{space 5} -.039151{col 62}{space 3} .0020676
{txt}{space 11}(1 vs 0) 11  {c |}{col 25}{res}{space 2}-.0133306{col 37}{space 2} .0103944{col 48}{space 5}-.0337033{col 62}{space 3} .0070422
{txt}{space 11}(1 vs 0) 12  {c |}{col 25}{res}{space 2}-.0075044{col 37}{space 2} .0103948{col 48}{space 5}-.0278778{col 62}{space 3} .0128691
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 5A{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5A.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5A.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5A.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. *
. 
. * [MODEL 5] FIGURE 5B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,524}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.29{col 49}{space 2}   0.0121
{txt}{space 11}(2 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.11{col 49}{space 2}   0.0134
{txt}{space 11}(2 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.82{col 49}{space 2}   0.0932
{txt}{space 11}(2 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.94{col 49}{space 2}   0.3314
{txt}{space 11}(2 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.49{col 49}{space 2}   0.4855
{txt}{space 11}(2 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.37{col 49}{space 2}   0.5435
{txt}{space 11}(2 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.36{col 49}{space 2}   0.5463
{txt}{space 11}(2 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.42{col 49}{space 2}   0.5192
{txt}{space 11}(2 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.50{col 49}{space 2}   0.4788
{txt}{space 11}(2 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.60{col 49}{space 2}   0.4385
{txt}{space 11}(2 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.68{col 49}{space 2}   0.4113
{txt}{space 11}(2 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.67{col 49}{space 2}   0.4114
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 0)  1  {c |}{col 25}{res}{space 2} .0091446{col 37}{space 2} .0036456{col 48}{space 5} .0019994{col 62}{space 3} .0162898
{txt}{space 11}(2 vs 0)  2  {c |}{col 25}{res}{space 2} .0087284{col 37}{space 2} .0035305{col 48}{space 5} .0018087{col 62}{space 3} .0156481
{txt}{space 11}(2 vs 0)  3  {c |}{col 25}{res}{space 2} .0070536{col 37}{space 2} .0042018{col 48}{space 5}-.0011818{col 62}{space 3}  .015289
{txt}{space 11}(2 vs 0)  4  {c |}{col 25}{res}{space 2} .0058376{col 37}{space 2} .0060105{col 48}{space 5}-.0059428{col 62}{space 3}  .017618
{txt}{space 11}(2 vs 0)  5  {c |}{col 25}{res}{space 2} .0053336{col 37}{space 2} .0076466{col 48}{space 5}-.0096534{col 62}{space 3} .0203206
{txt}{space 11}(2 vs 0)  6  {c |}{col 25}{res}{space 2} .0053784{col 37}{space 2} .0088539{col 48}{space 5}-.0119749{col 62}{space 3} .0227316
{txt}{space 11}(2 vs 0)  7  {c |}{col 25}{res}{space 2} .0058088{col 37}{space 2} .0096275{col 48}{space 5}-.0130608{col 62}{space 3} .0246784
{txt}{space 11}(2 vs 0)  8  {c |}{col 25}{res}{space 2} .0064617{col 37}{space 2} .0100251{col 48}{space 5}-.0131871{col 62}{space 3} .0261104
{txt}{space 11}(2 vs 0)  9  {c |}{col 25}{res}{space 2} .0071739{col 37}{space 2} .0101303{col 48}{space 5}-.0126812{col 62}{space 3} .0270289
{txt}{space 11}(2 vs 0) 10  {c |}{col 25}{res}{space 2} .0077822{col 37}{space 2} .0100453{col 48}{space 5}-.0119062{col 62}{space 3} .0274706
{txt}{space 11}(2 vs 0) 11  {c |}{col 25}{res}{space 2} .0081235{col 37}{space 2}  .009887{col 48}{space 5}-.0112547{col 62}{space 3} .0275017
{txt}{space 11}(2 vs 0) 12  {c |}{col 25}{res}{space 2} .0080347{col 37}{space 2} .0097809{col 48}{space 5}-.0111356{col 62}{space 3} .0272049
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Non-UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 5B{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5B.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5B.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5B.04-18-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 5] FIGURE 5C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,998}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    51.92{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    54.25{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    41.58{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    21.80{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    13.37{col 49}{space 2}   0.0003
{txt}{space 11}(3 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.71{col 49}{space 2}   0.0018
{txt}{space 11}(3 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.95{col 49}{space 2}   0.0048
{txt}{space 11}(3 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.06{col 49}{space 2}   0.0079
{txt}{space 11}(3 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.60{col 49}{space 2}   0.0102
{txt}{space 11}(3 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.32{col 49}{space 2}   0.0119
{txt}{space 11}(3 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.04{col 49}{space 2}   0.0140
{txt}{space 11}(3 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.59{col 49}{space 2}   0.0181
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 0)  1  {c |}{col 25}{res}{space 2} .0324569{col 37}{space 2} .0045042{col 48}{space 5} .0236288{col 62}{space 3}  .041285
{txt}{space 11}(3 vs 0)  2  {c |}{col 25}{res}{space 2} .0322193{col 37}{space 2} .0043742{col 48}{space 5}  .023646{col 62}{space 3} .0407925
{txt}{space 11}(3 vs 0)  3  {c |}{col 25}{res}{space 2} .0311831{col 37}{space 2} .0048361{col 48}{space 5} .0217045{col 62}{space 3} .0406616
{txt}{space 11}(3 vs 0)  4  {c |}{col 25}{res}{space 2} .0302257{col 37}{space 2} .0064737{col 48}{space 5} .0175375{col 62}{space 3} .0429139
{txt}{space 11}(3 vs 0)  5  {c |}{col 25}{res}{space 2} .0295055{col 37}{space 2} .0080681{col 48}{space 5} .0136923{col 62}{space 3} .0453188
{txt}{space 11}(3 vs 0)  6  {c |}{col 25}{res}{space 2} .0289434{col 37}{space 2} .0092871{col 48}{space 5} .0107411{col 62}{space 3} .0471457
{txt}{space 11}(3 vs 0)  7  {c |}{col 25}{res}{space 2} .0284601{col 37}{space 2} .0100932{col 48}{space 5} .0086778{col 62}{space 3} .0482425
{txt}{space 11}(3 vs 0)  8  {c |}{col 25}{res}{space 2} .0279764{col 37}{space 2} .0105301{col 48}{space 5} .0073378{col 62}{space 3}  .048615
{txt}{space 11}(3 vs 0)  9  {c |}{col 25}{res}{space 2} .0274131{col 37}{space 2} .0106731{col 48}{space 5} .0064941{col 62}{space 3}  .048332
{txt}{space 11}(3 vs 0) 10  {c |}{col 25}{res}{space 2} .0266909{col 37}{space 2} .0106167{col 48}{space 5} .0058825{col 62}{space 3} .0474993
{txt}{space 11}(3 vs 0) 11  {c |}{col 25}{res}{space 2} .0257307{col 37}{space 2}  .010469{col 48}{space 5} .0052118{col 62}{space 3} .0462496
{txt}{space 11}(3 vs 0) 12  {c |}{col 25}{res}{space 2} .0244532{col 37}{space 2} .0103451{col 48}{space 5} .0041772{col 62}{space 3} .0447292
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 5C{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5C.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5C.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5C.04-18-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * [MODEL 5] FIGURE 5D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,388}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.39{col 49}{space 2}   0.0022
{txt}{space 11}(2 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.78{col 49}{space 2}   0.0006
{txt}{space 11}(2 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    22.36{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    24.41{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    21.28{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    17.83{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    14.78{col 49}{space 2}   0.0001
{txt}{space 11}(2 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    12.01{col 49}{space 2}   0.0005
{txt}{space 11}(2 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.38{col 49}{space 2}   0.0022
{txt}{space 11}(2 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.81{col 49}{space 2}   0.0090
{txt}{space 11}(2 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.37{col 49}{space 2}   0.0365
{txt}{space 11}(2 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.23{col 49}{space 2}   0.1350
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 1)  1  {c |}{col 25}{res}{space 2} .0156355{col 37}{space 2} .0051031{col 48}{space 5} .0056336{col 62}{space 3} .0256373
{txt}{space 11}(2 vs 1)  2  {c |}{col 25}{res}{space 2} .0169509{col 37}{space 2} .0049389{col 48}{space 5} .0072708{col 62}{space 3}  .026631
{txt}{space 11}(2 vs 1)  3  {c |}{col 25}{res}{space 2} .0227331{col 37}{space 2}  .004808{col 48}{space 5} .0133096{col 62}{space 3} .0321566
{txt}{space 11}(2 vs 1)  4  {c |}{col 25}{res}{space 2} .0279842{col 37}{space 2} .0056635{col 48}{space 5} .0168839{col 62}{space 3} .0390845
{txt}{space 11}(2 vs 1)  5  {c |}{col 25}{res}{space 2} .0314891{col 37}{space 2} .0068266{col 48}{space 5} .0181091{col 62}{space 3}  .044869
{txt}{space 11}(2 vs 1)  6  {c |}{col 25}{res}{space 2} .0333477{col 37}{space 2} .0078969{col 48}{space 5}   .01787{col 62}{space 3} .0488254
{txt}{space 11}(2 vs 1)  7  {c |}{col 25}{res}{space 2} .0336604{col 37}{space 2}  .008755{col 48}{space 5}  .016501{col 62}{space 3} .0508198
{txt}{space 11}(2 vs 1)  8  {c |}{col 25}{res}{space 2} .0325272{col 37}{space 2} .0093851{col 48}{space 5} .0141327{col 62}{space 3} .0509217
{txt}{space 11}(2 vs 1)  9  {c |}{col 25}{res}{space 2} .0300483{col 37}{space 2}  .009813{col 48}{space 5} .0108153{col 62}{space 3} .0492814
{txt}{space 11}(2 vs 1) 10  {c |}{col 25}{res}{space 2} .0263239{col 37}{space 2} .0100844{col 48}{space 5} .0065589{col 62}{space 3} .0460889
{txt}{space 11}(2 vs 1) 11  {c |}{col 25}{res}{space 2} .0214541{col 37}{space 2} .0102572{col 48}{space 5} .0013504{col 62}{space 3} .0415577
{txt}{space 11}(2 vs 1) 12  {c |}{col 25}{res}{space 2}  .015539{col 37}{space 2} .0103963{col 48}{space 5}-.0048374{col 62}{space 3} .0359154
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Non-UIP Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 5D{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5D.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5D.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5D.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 5] FIGURE 5E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,862}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    51.17{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    58.71{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    82.53{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    74.79{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    58.62{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    46.07{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    36.86{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    29.67{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    23.64{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    18.25{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    13.31{col 49}{space 2}   0.0003
{txt}{space 11}(3 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.82{col 49}{space 2}   0.0030
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 1)  1  {c |}{col 25}{res}{space 2} .0389477{col 37}{space 2} .0054446{col 48}{space 5} .0282764{col 62}{space 3}  .049619
{txt}{space 11}(3 vs 1)  2  {c |}{col 25}{res}{space 2} .0404417{col 37}{space 2}  .005278{col 48}{space 5} .0300971{col 62}{space 3} .0507864
{txt}{space 11}(3 vs 1)  3  {c |}{col 25}{res}{space 2} .0468626{col 37}{space 2} .0051585{col 48}{space 5} .0367521{col 62}{space 3} .0569731
{txt}{space 11}(3 vs 1)  4  {c |}{col 25}{res}{space 2} .0523723{col 37}{space 2} .0060561{col 48}{space 5} .0405026{col 62}{space 3}  .064242
{txt}{space 11}(3 vs 1)  5  {c |}{col 25}{res}{space 2}  .055661{col 37}{space 2} .0072698{col 48}{space 5} .0414125{col 62}{space 3} .0699095
{txt}{space 11}(3 vs 1)  6  {c |}{col 25}{res}{space 2} .0569128{col 37}{space 2} .0083851{col 48}{space 5} .0404782{col 62}{space 3} .0733473
{txt}{space 11}(3 vs 1)  7  {c |}{col 25}{res}{space 2} .0563117{col 37}{space 2} .0092753{col 48}{space 5} .0381325{col 62}{space 3} .0744909
{txt}{space 11}(3 vs 1)  8  {c |}{col 25}{res}{space 2} .0540419{col 37}{space 2} .0099206{col 48}{space 5}  .034598{col 62}{space 3} .0734859
{txt}{space 11}(3 vs 1)  9  {c |}{col 25}{res}{space 2} .0502875{col 37}{space 2} .0103437{col 48}{space 5} .0300143{col 62}{space 3} .0705607
{txt}{space 11}(3 vs 1) 10  {c |}{col 25}{res}{space 2} .0452326{col 37}{space 2} .0105874{col 48}{space 5} .0244816{col 62}{space 3} .0659836
{txt}{space 11}(3 vs 1) 11  {c |}{col 25}{res}{space 2} .0390612{col 37}{space 2} .0107064{col 48}{space 5}  .018077{col 62}{space 3} .0600455
{txt}{space 11}(3 vs 1) 12  {c |}{col 25}{res}{space 2} .0319575{col 37}{space 2} .0107623{col 48}{space 5} .0108639{col 62}{space 3} .0530512
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 5E{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5E.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5E.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5E.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 5] FIGURE 5F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==2|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,540}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 2)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    27.02{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    29.45{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    33.29{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    24.46{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    16.53{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.81{col 49}{space 2}   0.0006
{txt}{space 11}(3 vs 2)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.00{col 49}{space 2}   0.0027
{txt}{space 11}(3 vs 2)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.22{col 49}{space 2}   0.0072
{txt}{space 11}(3 vs 2)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.03{col 49}{space 2}   0.0141
{txt}{space 11}(3 vs 2) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.20{col 49}{space 2}   0.0226
{txt}{space 11}(3 vs 2) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.60{col 49}{space 2}   0.0319
{txt}{space 11}(3 vs 2) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.18{col 49}{space 2}   0.0410
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 2)  1  {c |}{col 25}{res}{space 2} .0233123{col 37}{space 2} .0044844{col 48}{space 5}  .014523{col 62}{space 3} .0321015
{txt}{space 11}(3 vs 2)  2  {c |}{col 25}{res}{space 2} .0234908{col 37}{space 2}  .004329{col 48}{space 5} .0150061{col 62}{space 3} .0319755
{txt}{space 11}(3 vs 2)  3  {c |}{col 25}{res}{space 2} .0241295{col 37}{space 2}  .004182{col 48}{space 5} .0159329{col 62}{space 3} .0323262
{txt}{space 11}(3 vs 2)  4  {c |}{col 25}{res}{space 2} .0243881{col 37}{space 2} .0049308{col 48}{space 5}  .014724{col 62}{space 3} .0340522
{txt}{space 11}(3 vs 2)  5  {c |}{col 25}{res}{space 2} .0241719{col 37}{space 2} .0059461{col 48}{space 5} .0125178{col 62}{space 3} .0358261
{txt}{space 11}(3 vs 2)  6  {c |}{col 25}{res}{space 2}  .023565{col 37}{space 2} .0068563{col 48}{space 5}  .010127{col 62}{space 3} .0370031
{txt}{space 11}(3 vs 2)  7  {c |}{col 25}{res}{space 2} .0226513{col 37}{space 2} .0075491{col 48}{space 5} .0078553{col 62}{space 3} .0374473
{txt}{space 11}(3 vs 2)  8  {c |}{col 25}{res}{space 2} .0215147{col 37}{space 2} .0080056{col 48}{space 5} .0058241{col 62}{space 3} .0372054
{txt}{space 11}(3 vs 2)  9  {c |}{col 25}{res}{space 2} .0202392{col 37}{space 2} .0082425{col 48}{space 5} .0040842{col 62}{space 3} .0363943
{txt}{space 11}(3 vs 2) 10  {c |}{col 25}{res}{space 2} .0189087{col 37}{space 2} .0082941{col 48}{space 5} .0026525{col 62}{space 3} .0351649
{txt}{space 11}(3 vs 2) 11  {c |}{col 25}{res}{space 2} .0176072{col 37}{space 2} .0082061{col 48}{space 5} .0015236{col 62}{space 3} .0336907
{txt}{space 11}(3 vs 2) 12  {c |}{col 25}{res}{space 2} .0164185{col 37}{space 2} .0080334{col 48}{space 5} .0006733{col 62}{space 3} .0321637
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative  - Prior Non-UIP Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 5F{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Non-UIP Administrative{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL 5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5F.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5F.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 5.FIGURE 5F.04-18-2025.gph} saved

{com}. 
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. *** MODEL 6: 28 DAYS OR MORE [DELAY] [MODEL 6 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] ***      [FIGURES 6A-6F]
. 
. *
. *
. 
. npregress series  delay_29plusdays  itmod_monthcount i.agencyhead_govord_2 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}310{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}320{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}330{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}340{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}350{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}360{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}370{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}380{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}390{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}400{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}410{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}420{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}430{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}440{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}450{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}460{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}470{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}480{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}490{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}500{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}510{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}520{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}530{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}540{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}550{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}560{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}570{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}580{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}590{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}600{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}610{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}620{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}630{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}640{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}650{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}660{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}670{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}680{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}690{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}700{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}710{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}720{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}730{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}740{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}750{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}760{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}770{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}780{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}790{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}800{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}810{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}820{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}830{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}840{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}850{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}860{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}870{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}880{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}890{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}900{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}910{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}920{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}930{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}940{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}950{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}960{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}970{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}980{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}990{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}1,000{text} done
{res}
{txt}Cubic B-spline estimation {col 44}Number of obs      =  {res}        7,386
{txt}Criterion: {res:cross validation}{col 44}Number of knots    =  {res}            1
{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}   Observed{col 38}   Bootstrap{col 66}         Norm{col 79}al-based
{col 1}        delay_29plusdays{col 26}{c |}     effect{col 38}   std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2}-.0012408{col 38}{space 2} .0002264{col 49}{space 1}   -5.48{col 58}{space 3}0.000{col 66}{space 4}-.0016846{col 79}{space 3}-.0007971
{txt}{space 24} {c |}
{space 5}agencyhead_govord_2 {c |}
{space 22}1  {c |}{col 26}{res}{space 2} .0041637{col 38}{space 2} .0032573{col 49}{space 1}    1.28{col 58}{space 3}0.201{col 66}{space 4}-.0022205{col 79}{space 3}  .010548
{txt}{space 22}2  {c |}{col 26}{res}{space 2} .0139776{col 38}{space 2} .0031739{col 49}{space 1}    4.40{col 58}{space 3}0.000{col 66}{space 4} .0077568{col 79}{space 3} .0201984
{txt}{space 22}3  {c |}{col 26}{res}{space 2}-.0108071{col 38}{space 2} .0034092{col 49}{space 1}   -3.17{col 58}{space 3}0.002{col 66}{space 4}-.0174891{col 79}{space 3}-.0041252
{txt}{space 24} {c |}
{space 7}agencyhead_tenure {c |}{col 26}{res}{space 2}-.0000498{col 38}{space 2} .0000333{col 49}{space 1}   -1.50{col 58}{space 3}0.134{col 66}{space 4} -.000115{col 79}{space 3} .0000154
{txt}{space 10}automationrate {c |}{col 26}{res}{space 2} .0392486{col 38}{space 2} .0079174{col 49}{space 1}    4.96{col 58}{space 3}0.000{col 66}{space 4} .0237307{col 79}{space 3} .0547665
{txt}{space 13}wstaff_load {c |}{col 26}{res}{space 2}-6.87e-06{col 38}{space 2} 7.13e-07{col 49}{space 1}   -9.64{col 58}{space 3}0.000{col 66}{space 4}-8.27e-06{col 79}{space 3}-5.47e-06
{txt}{space 13}staff_tdiff {c |}{col 26}{res}{space 2} .1368557{col 38}{space 2} .0375279{col 49}{space 1}    3.65{col 58}{space 3}0.000{col 66}{space 4} .0633024{col 79}{space 3}  .210409
{txt}{space 14}unemp_rate {c |}{col 26}{res}{space 2} .0078938{col 38}{space 2} .0013977{col 49}{space 1}    5.65{col 58}{space 3}0.000{col 66}{space 4} .0051544{col 79}{space 3} .0106331
{txt}{space 1}function_sup_avgsalreal {c |}{col 26}{res}{space 2}-3.22e-07{col 38}{space 2} 1.77e-07{col 49}{space 1}   -1.82{col 58}{space 3}0.069{col 66}{space 4}-6.70e-07{col 79}{space 3} 2.54e-08
{txt}{space 24} {c |}
{space 17}stateid {c |}
{space 22}5  {c |}{col 26}{res}{space 2} .0305605{col 38}{space 2} .0063138{col 49}{space 1}    4.84{col 58}{space 3}0.000{col 66}{space 4} .0181857{col 79}{space 3} .0429353
{txt}{space 22}6  {c |}{col 26}{res}{space 2} .0187295{col 38}{space 2} .0090087{col 49}{space 1}    2.08{col 58}{space 3}0.038{col 66}{space 4} .0010728{col 79}{space 3} .0363862
{txt}{space 22}9  {c |}{col 26}{res}{space 2} .0303022{col 38}{space 2} .0067884{col 49}{space 1}    4.46{col 58}{space 3}0.000{col 66}{space 4} .0169972{col 79}{space 3} .0436073
{txt}{space 21}12  {c |}{col 26}{res}{space 2}-.0318443{col 38}{space 2} .0076365{col 49}{space 1}   -4.17{col 58}{space 3}0.000{col 66}{space 4}-.0468116{col 79}{space 3} -.016877
{txt}{space 21}13  {c |}{col 26}{res}{space 2} .0105092{col 38}{space 2} .0056126{col 49}{space 1}    1.87{col 58}{space 3}0.061{col 66}{space 4}-.0004914{col 79}{space 3} .0215097
{txt}{space 21}14  {c |}{col 26}{res}{space 2} .0404239{col 38}{space 2} .0083019{col 49}{space 1}    4.87{col 58}{space 3}0.000{col 66}{space 4} .0241526{col 79}{space 3} .0566953
{txt}{space 21}18  {c |}{col 26}{res}{space 2} .0703249{col 38}{space 2} .0085659{col 49}{space 1}    8.21{col 58}{space 3}0.000{col 66}{space 4} .0535361{col 79}{space 3} .0871138
{txt}{space 21}19  {c |}{col 26}{res}{space 2}  .002666{col 38}{space 2} .0064602{col 49}{space 1}    0.41{col 58}{space 3}0.680{col 66}{space 4}-.0099956{col 79}{space 3} .0153277
{txt}{space 21}20  {c |}{col 26}{res}{space 2} .0334675{col 38}{space 2} .0071307{col 49}{space 1}    4.69{col 58}{space 3}0.000{col 66}{space 4} .0194916{col 79}{space 3} .0474434
{txt}{space 21}21  {c |}{col 26}{res}{space 2} .0984125{col 38}{space 2} .0078609{col 49}{space 1}   12.52{col 58}{space 3}0.000{col 66}{space 4} .0830055{col 79}{space 3} .1138195
{txt}{space 21}22  {c |}{col 26}{res}{space 2} .0625857{col 38}{space 2} .0066215{col 49}{space 1}    9.45{col 58}{space 3}0.000{col 66}{space 4} .0496079{col 79}{space 3} .0755636
{txt}{space 21}23  {c |}{col 26}{res}{space 2} .0035456{col 38}{space 2} .0068398{col 49}{space 1}    0.52{col 58}{space 3}0.604{col 66}{space 4}-.0098603{col 79}{space 3} .0169514
{txt}{space 21}24  {c |}{col 26}{res}{space 2} .0633772{col 38}{space 2} .0082449{col 49}{space 1}    7.69{col 58}{space 3}0.000{col 66}{space 4} .0472175{col 79}{space 3} .0795368
{txt}{space 21}25  {c |}{col 26}{res}{space 2} .0140284{col 38}{space 2} .0063838{col 49}{space 1}    2.20{col 58}{space 3}0.028{col 66}{space 4} .0015163{col 79}{space 3} .0265404
{txt}{space 21}27  {c |}{col 26}{res}{space 2} .0394691{col 38}{space 2} .0069993{col 49}{space 1}    5.64{col 58}{space 3}0.000{col 66}{space 4} .0257508{col 79}{space 3} .0531874
{txt}{space 21}28  {c |}{col 26}{res}{space 2} .0500689{col 38}{space 2} .0064223{col 49}{space 1}    7.80{col 58}{space 3}0.000{col 66}{space 4} .0374815{col 79}{space 3} .0626563
{txt}{space 21}29  {c |}{col 26}{res}{space 2} .0664808{col 38}{space 2} .0113698{col 49}{space 1}    5.85{col 58}{space 3}0.000{col 66}{space 4} .0441963{col 79}{space 3} .0887652
{txt}{space 21}31  {c |}{col 26}{res}{space 2}-.0089773{col 38}{space 2} .0087291{col 49}{space 1}   -1.03{col 58}{space 3}0.304{col 66}{space 4}-.0260861{col 79}{space 3} .0081316
{txt}{space 21}33  {c |}{col 26}{res}{space 2}  .081302{col 38}{space 2} .0065477{col 49}{space 1}   12.42{col 58}{space 3}0.000{col 66}{space 4} .0684688{col 79}{space 3} .0941353
{txt}{space 21}35  {c |}{col 26}{res}{space 2} .0045383{col 38}{space 2} .0047857{col 49}{space 1}    0.95{col 58}{space 3}0.343{col 66}{space 4}-.0048416{col 79}{space 3} .0139181
{txt}{space 21}38  {c |}{col 26}{res}{space 2} .0270466{col 38}{space 2} .0061031{col 49}{space 1}    4.43{col 58}{space 3}0.000{col 66}{space 4} .0150847{col 79}{space 3} .0390084
{txt}{space 21}40  {c |}{col 26}{res}{space 2} .0057478{col 38}{space 2} .0076557{col 49}{space 1}    0.75{col 58}{space 3}0.453{col 66}{space 4}-.0092571{col 79}{space 3} .0207527
{txt}{space 21}42  {c |}{col 26}{res}{space 2} .0590166{col 38}{space 2}   .00834{col 49}{space 1}    7.08{col 58}{space 3}0.000{col 66}{space 4} .0426704{col 79}{space 3} .0753627
{txt}{space 21}44  {c |}{col 26}{res}{space 2}-.0188943{col 38}{space 2} .0051016{col 49}{space 1}   -3.70{col 58}{space 3}0.000{col 66}{space 4}-.0288932{col 79}{space 3}-.0088954
{txt}{space 21}46  {c |}{col 26}{res}{space 2} .0268679{col 38}{space 2} .0073816{col 49}{space 1}    3.64{col 58}{space 3}0.000{col 66}{space 4} .0124002{col 79}{space 3} .0413356
{txt}{space 21}47  {c |}{col 26}{res}{space 2} .0100644{col 38}{space 2} .0057062{col 49}{space 1}    1.76{col 58}{space 3}0.078{col 66}{space 4}-.0011197{col 79}{space 3} .0212484
{txt}{space 21}50  {c |}{col 26}{res}{space 2}-.0267172{col 38}{space 2} .0101156{col 49}{space 1}   -2.64{col 58}{space 3}0.008{col 66}{space 4}-.0465435{col 79}{space 3}-.0068909
{txt}{space 21}51  {c |}{col 26}{res}{space 2} .0280732{col 38}{space 2} .0074966{col 49}{space 1}    3.74{col 58}{space 3}0.000{col 66}{space 4} .0133802{col 79}{space 3} .0427663
{txt}{space 21}52  {c |}{col 26}{res}{space 2}  .030758{col 38}{space 2} .0063093{col 49}{space 1}    4.88{col 58}{space 3}0.000{col 66}{space 4}  .018392{col 79}{space 3}  .043124
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2}-.0198042{col 38}{space 2} .0040633{col 49}{space 1}   -4.87{col 58}{space 3}0.000{col 66}{space 4}-.0277682{col 79}{space 3}-.0118402
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.0227237{col 38}{space 2}   .00403{col 49}{space 1}   -5.64{col 58}{space 3}0.000{col 66}{space 4}-.0306223{col 79}{space 3}-.0148251
{txt}{space 19}2005  {c |}{col 26}{res}{space 2} -.016935{col 38}{space 2} .0048071{col 49}{space 1}   -3.52{col 58}{space 3}0.000{col 66}{space 4}-.0263569{col 79}{space 3}-.0075132
{txt}{space 19}2006  {c |}{col 26}{res}{space 2}-.0112408{col 38}{space 2} .0046558{col 49}{space 1}   -2.41{col 58}{space 3}0.016{col 66}{space 4} -.020366{col 79}{space 3}-.0021156
{txt}{space 19}2007  {c |}{col 26}{res}{space 2}-.0151322{col 38}{space 2} .0048996{col 49}{space 1}   -3.09{col 58}{space 3}0.002{col 66}{space 4}-.0247352{col 79}{space 3}-.0055291
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.0153397{col 38}{space 2} .0050191{col 49}{space 1}   -3.06{col 58}{space 3}0.002{col 66}{space 4}-.0251769{col 79}{space 3}-.0055024
{txt}{space 19}2009  {c |}{col 26}{res}{space 2} -.016225{col 38}{space 2} .0069262{col 49}{space 1}   -2.34{col 58}{space 3}0.019{col 66}{space 4}-.0298001{col 79}{space 3}  -.00265
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0155371{col 38}{space 2} .0078664{col 49}{space 1}   -1.98{col 58}{space 3}0.048{col 66}{space 4}-.0309549{col 79}{space 3}-.0001193
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0266449{col 38}{space 2} .0068079{col 49}{space 1}   -3.91{col 58}{space 3}0.000{col 66}{space 4}-.0399882{col 79}{space 3}-.0133016
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0066253{col 38}{space 2} .0070858{col 49}{space 1}   -0.94{col 58}{space 3}0.350{col 66}{space 4}-.0205132{col 79}{space 3} .0072626
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0085087{col 38}{space 2} .0070903{col 49}{space 1}   -1.20{col 58}{space 3}0.230{col 66}{space 4}-.0224054{col 79}{space 3}  .005388
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.0173833{col 38}{space 2} .0074186{col 49}{space 1}   -2.34{col 58}{space 3}0.019{col 66}{space 4}-.0319235{col 79}{space 3}-.0028431
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0275128{col 38}{space 2} .0068886{col 49}{space 1}   -3.99{col 58}{space 3}0.000{col 66}{space 4}-.0410143{col 79}{space 3}-.0140113
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0245572{col 38}{space 2} .0073997{col 49}{space 1}   -3.32{col 58}{space 3}0.001{col 66}{space 4}-.0390603{col 79}{space 3}-.0100541
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0310738{col 38}{space 2} .0078292{col 49}{space 1}   -3.97{col 58}{space 3}0.000{col 66}{space 4}-.0464187{col 79}{space 3}-.0157288
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0294919{col 38}{space 2} .0086911{col 49}{space 1}   -3.39{col 58}{space 3}0.001{col 66}{space 4}-.0465262{col 79}{space 3}-.0124576
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0277661{col 38}{space 2} .0094701{col 49}{space 1}   -2.93{col 58}{space 3}0.003{col 66}{space 4}-.0463272{col 79}{space 3} -.009205
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1382856{col 38}{space 2} .0152981{col 49}{space 1}    9.04{col 58}{space 3}0.000{col 66}{space 4} .1083019{col 79}{space 3} .1682693
{txt}{space 19}2021  {c |}{col 26}{res}{space 2} .1904859{col 38}{space 2} .0140839{col 49}{space 1}   13.53{col 58}{space 3}0.000{col 66}{space 4} .1628819{col 79}{space 3} .2180899
{txt}{space 19}2022  {c |}{col 26}{res}{space 2} .1612885{col 38}{space 2} .0162046{col 49}{space 1}    9.95{col 58}{space 3}0.000{col 66}{space 4} .1295282{col 79}{space 3} .1930489
{txt}{space 24} {c |}
adoptcohort_2002_itadopt {c |}{col 26}{res}{space 2} .0804725{col 38}{space 2} .0101717{col 49}{space 1}    7.91{col 58}{space 3}0.000{col 66}{space 4} .0605363{col 79}{space 3} .1004086
{txt}adoptcohort_2004_itadopt {c |}{col 26}{res}{space 2} .0063688{col 38}{space 2} .0082424{col 49}{space 1}    0.77{col 58}{space 3}0.440{col 66}{space 4} -.009786{col 79}{space 3} .0225237
{txt}adoptcohort_2006_itadopt {c |}{col 26}{res}{space 2} .0342656{col 38}{space 2} .0079889{col 49}{space 1}    4.29{col 58}{space 3}0.000{col 66}{space 4} .0186077{col 79}{space 3} .0499235
{txt}adoptcohort_2007_itadopt {c |}{col 26}{res}{space 2} -.000014{col 38}{space 2} .0068075{col 49}{space 1}   -0.00{col 58}{space 3}0.998{col 66}{space 4}-.0133564{col 79}{space 3} .0133284
{txt}adoptcohort_2009_itadopt {c |}{col 26}{res}{space 2}-.0291179{col 38}{space 2} .0100597{col 49}{space 1}   -2.89{col 58}{space 3}0.004{col 66}{space 4}-.0488346{col 79}{space 3}-.0094013
{txt}adoptcohort_2010_itadopt {c |}{col 26}{res}{space 2}  .037681{col 38}{space 2} .0093465{col 49}{space 1}    4.03{col 58}{space 3}0.000{col 66}{space 4} .0193622{col 79}{space 3} .0559998
{txt}adoptcohort_2013_itadopt {c |}{col 26}{res}{space 2} .0536032{col 38}{space 2} .0077973{col 49}{space 1}    6.87{col 58}{space 3}0.000{col 66}{space 4} .0383208{col 79}{space 3} .0688856
{txt}adoptcohort_2014_itadopt {c |}{col 26}{res}{space 2} .0478649{col 38}{space 2} .0141654{col 49}{space 1}    3.38{col 58}{space 3}0.001{col 66}{space 4} .0201012{col 79}{space 3} .0756287
{txt}adoptcohort_2015_itadopt {c |}{col 26}{res}{space 2} .0044169{col 38}{space 2} .0094202{col 49}{space 1}    0.47{col 58}{space 3}0.639{col 66}{space 4}-.0140464{col 79}{space 3} .0228803
{txt}adoptcohort_2016_itadopt {c |}{col 26}{res}{space 2} .0701897{col 38}{space 2} .0152372{col 49}{space 1}    4.61{col 58}{space 3}0.000{col 66}{space 4} .0403253{col 79}{space 3} .1000542
{txt}adoptcohort_2017_itadopt {c |}{col 26}{res}{space 2} .0737247{col 38}{space 2} .0111401{col 49}{space 1}    6.62{col 58}{space 3}0.000{col 66}{space 4} .0518904{col 79}{space 3}  .095559
{txt}adoptcohort_2018_itadopt {c |}{col 26}{res}{space 2}-.0247404{col 38}{space 2} .0166474{col 49}{space 1}   -1.49{col 58}{space 3}0.137{col 66}{space 4}-.0573686{col 79}{space 3} .0078879
{txt}adoptcohort_2020_itadopt {c |}{col 26}{res}{space 2} .2108693{col 38}{space 2} .0261846{col 49}{space 1}    8.05{col 58}{space 3}0.000{col 66}{space 4} .1595485{col 79}{space 3} .2621901
{txt}adoptcohort_2021_itadopt {c |}{col 26}{res}{space 2} .2333302{col 38}{space 2} .0619577{col 49}{space 1}    3.77{col 58}{space 3}0.000{col 66}{space 4} .1118953{col 79}{space 3} .3547652
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 6] FIGURE 6A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_2==1 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,846}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(1 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.44{col 49}{space 2}   0.5093
{txt}{space 11}(1 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.17{col 49}{space 2}   0.2788
{txt}{space 11}(1 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.77{col 49}{space 2}   0.0163
{txt}{space 11}(1 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.69{col 49}{space 2}   0.0097
{txt}{space 11}(1 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.90{col 49}{space 2}   0.0152
{txt}{space 11}(1 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.78{col 49}{space 2}   0.0287
{txt}{space 11}(1 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.55{col 49}{space 2}   0.0595
{txt}{space 11}(1 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.26{col 49}{space 2}   0.1326
{txt}{space 11}(1 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.04{col 49}{space 2}   0.3089
{txt}{space 11}(1 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.16{col 49}{space 2}   0.6878
{txt}{space 11}(1 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.12{col 49}{space 2}   0.7338
{txt}{space 11}(1 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.31{col 49}{space 2}   0.2532
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(1 vs 0)  1  {c |}{col 25}{res}{space 2} .0022613{col 37}{space 2}  .003427{col 48}{space 5}-.0044555{col 62}{space 3} .0089781
{txt}{space 11}(1 vs 0)  2  {c |}{col 25}{res}{space 2} .0035941{col 37}{space 2} .0033183{col 48}{space 5}-.0029096{col 62}{space 3} .0100977
{txt}{space 11}(1 vs 0)  3  {c |}{col 25}{res}{space 2} .0091853{col 37}{space 2} .0038231{col 48}{space 5} .0016922{col 62}{space 3} .0166784
{txt}{space 11}(1 vs 0)  4  {c |}{col 25}{res}{space 2} .0136823{col 37}{space 2}  .005289{col 48}{space 5} .0033161{col 62}{space 3} .0240485
{txt}{space 11}(1 vs 0)  5  {c |}{col 25}{res}{space 2} .0159925{col 37}{space 2}  .006586{col 48}{space 5} .0030841{col 62}{space 3} .0289008
{txt}{space 11}(1 vs 0)  6  {c |}{col 25}{res}{space 2}  .016356{col 37}{space 2} .0074778{col 48}{space 5} .0016997{col 62}{space 3} .0310123
{txt}{space 11}(1 vs 0)  7  {c |}{col 25}{res}{space 2} .0150132{col 37}{space 2} .0079653{col 48}{space 5}-.0005986{col 62}{space 3} .0306249
{txt}{space 11}(1 vs 0)  8  {c |}{col 25}{res}{space 2} .0122042{col 37}{space 2} .0081151{col 48}{space 5}-.0037012{col 62}{space 3} .0281095
{txt}{space 11}(1 vs 0)  9  {c |}{col 25}{res}{space 2} .0081692{col 37}{space 2} .0080282{col 48}{space 5}-.0075657{col 62}{space 3} .0239042
{txt}{space 11}(1 vs 0) 10  {c |}{col 25}{res}{space 2} .0031486{col 37}{space 2}  .007836{col 48}{space 5}-.0122097{col 62}{space 3} .0185068
{txt}{space 11}(1 vs 0) 11  {c |}{col 25}{res}{space 2}-.0026176{col 37}{space 2} .0076976{col 48}{space 5}-.0177047{col 62}{space 3} .0124695
{txt}{space 11}(1 vs 0) 12  {c |}{col 25}{res}{space 2}-.0088891{col 37}{space 2} .0077796{col 48}{space 5}-.0241368{col 62}{space 3} .0063586
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 6A{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6A.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6A.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6A.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. *
. 
. * [MODEL 6] FIGURE 6B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,524}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.81{col 49}{space 2}   0.0938
{txt}{space 11}(2 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.79{col 49}{space 2}   0.0947
{txt}{space 11}(2 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.25{col 49}{space 2}   0.2643
{txt}{space 11}(2 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.50{col 49}{space 2}   0.4778
{txt}{space 11}(2 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.32{col 49}{space 2}   0.5733
{txt}{space 11}(2 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.26{col 49}{space 2}   0.6113
{txt}{space 11}(2 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.24{col 49}{space 2}   0.6259
{txt}{space 11}(2 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.23{col 49}{space 2}   0.6352
{txt}{space 11}(2 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.20{col 49}{space 2}   0.6529
{txt}{space 11}(2 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.16{col 49}{space 2}   0.6931
{txt}{space 11}(2 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.08{col 49}{space 2}   0.7726
{txt}{space 11}(2 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.01{col 49}{space 2}   0.9076
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 0)  1  {c |}{col 25}{res}{space 2}-.0042195{col 37}{space 2} .0025182{col 48}{space 5}-.0091551{col 62}{space 3} .0007162
{txt}{space 11}(2 vs 0)  2  {c |}{col 25}{res}{space 2}-.0041215{col 37}{space 2} .0024661{col 48}{space 5}-.0089549{col 62}{space 3} .0007119
{txt}{space 11}(2 vs 0)  3  {c |}{col 25}{res}{space 2}-.0037849{col 37}{space 2} .0033908{col 48}{space 5}-.0104308{col 62}{space 3}  .002861
{txt}{space 11}(2 vs 0)  4  {c |}{col 25}{res}{space 2}-.0036542{col 37}{space 2} .0051482{col 48}{space 5}-.0137446{col 62}{space 3} .0064361
{txt}{space 11}(2 vs 0)  5  {c |}{col 25}{res}{space 2}-.0037229{col 37}{space 2} .0066095{col 48}{space 5}-.0166772{col 62}{space 3} .0092314
{txt}{space 11}(2 vs 0)  6  {c |}{col 25}{res}{space 2} -.003886{col 37}{space 2} .0076455{col 48}{space 5}-.0188709{col 62}{space 3} .0110988
{txt}{space 11}(2 vs 0)  7  {c |}{col 25}{res}{space 2} -.004039{col 37}{space 2} .0082846{col 48}{space 5}-.0202766{col 62}{space 3} .0121986
{txt}{space 11}(2 vs 0)  8  {c |}{col 25}{res}{space 2}-.0040771{col 37}{space 2} .0085942{col 48}{space 5}-.0209213{col 62}{space 3} .0127671
{txt}{space 11}(2 vs 0)  9  {c |}{col 25}{res}{space 2}-.0038955{col 37}{space 2}  .008661{col 48}{space 5}-.0208709{col 62}{space 3} .0130798
{txt}{space 11}(2 vs 0) 10  {c |}{col 25}{res}{space 2}-.0033896{col 37}{space 2} .0085886{col 48}{space 5} -.020223{col 62}{space 3} .0134437
{txt}{space 11}(2 vs 0) 11  {c |}{col 25}{res}{space 2}-.0024547{col 37}{space 2} .0084937{col 48}{space 5} -.019102{col 62}{space 3} .0141926
{txt}{space 11}(2 vs 0) 12  {c |}{col 25}{res}{space 2}-.0009859{col 37}{space 2}  .008497{col 48}{space 5}-.0176397{col 62}{space 3} .0156679
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Non-UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 6B{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6B.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6B.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6B.04-18-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 6] FIGURE 6C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,998}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    44.46{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    47.07{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    32.89{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    16.93{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.03{col 49}{space 2}   0.0009
{txt}{space 11}(3 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.58{col 49}{space 2}   0.0034
{txt}{space 11}(3 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.45{col 49}{space 2}   0.0064
{txt}{space 11}(3 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.91{col 49}{space 2}   0.0086
{txt}{space 11}(3 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.65{col 49}{space 2}   0.0099
{txt}{space 11}(3 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.45{col 49}{space 2}   0.0111
{txt}{space 11}(3 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.13{col 49}{space 2}   0.0133
{txt}{space 11}(3 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.53{col 49}{space 2}   0.0187
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 0)  1  {c |}{col 25}{res}{space 2}-.0209668{col 37}{space 2} .0031444{col 48}{space 5}-.0271297{col 62}{space 3}-.0148039
{txt}{space 11}(3 vs 0)  2  {c |}{col 25}{res}{space 2}-.0210547{col 37}{space 2} .0030687{col 48}{space 5}-.0270693{col 62}{space 3}-.0150402
{txt}{space 11}(3 vs 0)  3  {c |}{col 25}{res}{space 2}-.0215086{col 37}{space 2} .0037506{col 48}{space 5}-.0288596{col 62}{space 3}-.0141576
{txt}{space 11}(3 vs 0)  4  {c |}{col 25}{res}{space 2}-.0220556{col 37}{space 2} .0053608{col 48}{space 5}-.0325626{col 62}{space 3}-.0115485
{txt}{space 11}(3 vs 0)  5  {c |}{col 25}{res}{space 2}-.0225596{col 37}{space 2} .0067918{col 48}{space 5}-.0358712{col 62}{space 3} -.009248
{txt}{space 11}(3 vs 0)  6  {c |}{col 25}{res}{space 2}-.0229727{col 37}{space 2} .0078433{col 48}{space 5}-.0383453{col 62}{space 3}-.0076001
{txt}{space 11}(3 vs 0)  7  {c |}{col 25}{res}{space 2}-.0232468{col 37}{space 2} .0085194{col 48}{space 5}-.0399445{col 62}{space 3}-.0065492
{txt}{space 11}(3 vs 0)  8  {c |}{col 25}{res}{space 2}-.0233338{col 37}{space 2} .0088756{col 48}{space 5}-.0407297{col 62}{space 3} -.005938
{txt}{space 11}(3 vs 0)  9  {c |}{col 25}{res}{space 2}-.0231858{col 37}{space 2} .0089903{col 48}{space 5}-.0408065{col 62}{space 3} -.005565
{txt}{space 11}(3 vs 0) 10  {c |}{col 25}{res}{space 2}-.0227545{col 37}{space 2} .0089571{col 48}{space 5}-.0403102{col 62}{space 3}-.0051989
{txt}{space 11}(3 vs 0) 11  {c |}{col 25}{res}{space 2} -.021992{col 37}{space 2} .0088808{col 48}{space 5} -.039398{col 62}{space 3}-.0045861
{txt}{space 11}(3 vs 0) 12  {c |}{col 25}{res}{space 2}-.0208503{col 37}{space 2} .0088687{col 48}{space 5}-.0382327{col 62}{space 3}-.0034679
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 6C{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6C.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6C.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6C.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * [MODEL 6] FIGURE 6D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,388}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.85{col 49}{space 2}   0.0915
{txt}{space 11}(2 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.31{col 49}{space 2}   0.0378
{txt}{space 11}(2 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    13.02{col 49}{space 2}   0.0003
{txt}{space 11}(2 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    17.08{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    15.44{col 49}{space 2}   0.0001
{txt}{space 11}(2 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    12.32{col 49}{space 2}   0.0004
{txt}{space 11}(2 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.98{col 49}{space 2}   0.0027
{txt}{space 11}(2 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.75{col 49}{space 2}   0.0165
{txt}{space 11}(2 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.90{col 49}{space 2}   0.0888
{txt}{space 11}(2 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.80{col 49}{space 2}   0.3704
{txt}{space 11}(2 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.00{col 49}{space 2}   0.9826
{txt}{space 11}(2 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.06{col 49}{space 2}   0.3033
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 1)  1  {c |}{col 25}{res}{space 2}-.0064808{col 37}{space 2} .0038404{col 48}{space 5}-.0140079{col 62}{space 3} .0010463
{txt}{space 11}(2 vs 1)  2  {c |}{col 25}{res}{space 2}-.0077155{col 37}{space 2} .0037147{col 48}{space 5}-.0149963{col 62}{space 3}-.0004348
{txt}{space 11}(2 vs 1)  3  {c |}{col 25}{res}{space 2}-.0129702{col 37}{space 2} .0035952{col 48}{space 5}-.0200166{col 62}{space 3}-.0059238
{txt}{space 11}(2 vs 1)  4  {c |}{col 25}{res}{space 2}-.0173365{col 37}{space 2} .0041952{col 48}{space 5}-.0255591{col 62}{space 3} -.009114
{txt}{space 11}(2 vs 1)  5  {c |}{col 25}{res}{space 2}-.0197153{col 37}{space 2} .0050174{col 48}{space 5}-.0295493{col 62}{space 3}-.0098814
{txt}{space 11}(2 vs 1)  6  {c |}{col 25}{res}{space 2} -.020242{col 37}{space 2} .0057669{col 48}{space 5}-.0315449{col 62}{space 3}-.0089392
{txt}{space 11}(2 vs 1)  7  {c |}{col 25}{res}{space 2}-.0190522{col 37}{space 2} .0063595{col 48}{space 5}-.0315166{col 62}{space 3}-.0065878
{txt}{space 11}(2 vs 1)  8  {c |}{col 25}{res}{space 2}-.0162813{col 37}{space 2} .0067909{col 48}{space 5}-.0295912{col 62}{space 3}-.0029713
{txt}{space 11}(2 vs 1)  9  {c |}{col 25}{res}{space 2}-.0120648{col 37}{space 2} .0070893{col 48}{space 5}-.0259597{col 62}{space 3} .0018301
{txt}{space 11}(2 vs 1) 10  {c |}{col 25}{res}{space 2}-.0065382{col 37}{space 2} .0072998{col 48}{space 5}-.0208456{col 62}{space 3} .0077691
{txt}{space 11}(2 vs 1) 11  {c |}{col 25}{res}{space 2} .0001629{col 37}{space 2} .0074768{col 48}{space 5}-.0144912{col 62}{space 3} .0148171
{txt}{space 11}(2 vs 1) 12  {c |}{col 25}{res}{space 2} .0079032{col 37}{space 2} .0076782{col 48}{space 5}-.0071459{col 62}{space 3} .0229522
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Non-UIP Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 6D{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6D.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6D.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6D.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 6] FIGURE 6E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,862}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    35.65{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    42.58{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    66.89{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    64.14{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    51.78{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    40.87{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    31.97{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    24.38{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    17.60{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.50{col 49}{space 2}   0.0007
{txt}{space 11}(3 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.27{col 49}{space 2}   0.0123
{txt}{space 11}(3 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.33{col 49}{space 2}   0.1270
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 1)  1  {c |}{col 25}{res}{space 2}-.0232281{col 37}{space 2} .0038902{col 48}{space 5}-.0308529{col 62}{space 3}-.0156034
{txt}{space 11}(3 vs 1)  2  {c |}{col 25}{res}{space 2}-.0246488{col 37}{space 2} .0037776{col 48}{space 5}-.0320527{col 62}{space 3}-.0172448
{txt}{space 11}(3 vs 1)  3  {c |}{col 25}{res}{space 2}-.0306939{col 37}{space 2} .0037529{col 48}{space 5}-.0380495{col 62}{space 3}-.0233383
{txt}{space 11}(3 vs 1)  4  {c |}{col 25}{res}{space 2}-.0357379{col 37}{space 2} .0044624{col 48}{space 5} -.044484{col 62}{space 3}-.0269917
{txt}{space 11}(3 vs 1)  5  {c |}{col 25}{res}{space 2}-.0385521{col 37}{space 2} .0053576{col 48}{space 5}-.0490527{col 62}{space 3}-.0280514
{txt}{space 11}(3 vs 1)  6  {c |}{col 25}{res}{space 2}-.0393287{col 37}{space 2} .0061517{col 48}{space 5}-.0513859{col 62}{space 3}-.0272716
{txt}{space 11}(3 vs 1)  7  {c |}{col 25}{res}{space 2}  -.03826{col 37}{space 2} .0067662{col 48}{space 5}-.0515216{col 62}{space 3}-.0249984
{txt}{space 11}(3 vs 1)  8  {c |}{col 25}{res}{space 2} -.035538{col 37}{space 2} .0071979{col 48}{space 5}-.0496456{col 62}{space 3}-.0214304
{txt}{space 11}(3 vs 1)  9  {c |}{col 25}{res}{space 2} -.031355{col 37}{space 2} .0074739{col 48}{space 5}-.0460035{col 62}{space 3}-.0167065
{txt}{space 11}(3 vs 1) 10  {c |}{col 25}{res}{space 2}-.0259031{col 37}{space 2}  .007637{col 48}{space 5}-.0408713{col 62}{space 3}-.0109349
{txt}{space 11}(3 vs 1) 11  {c |}{col 25}{res}{space 2}-.0193744{col 37}{space 2} .0077392{col 48}{space 5}-.0345429{col 62}{space 3} -.004206
{txt}{space 11}(3 vs 1) 12  {c |}{col 25}{res}{space 2}-.0119612{col 37}{space 2} .0078373{col 48}{space 5} -.027322{col 62}{space 3} .0033996
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 6E{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6E.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6E.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6E.04-18-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL 6] FIGURE 6F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==2|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,540}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcount} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 2)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    24.78{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    27.03{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    29.89{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    21.87{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    15.46{col 49}{space 2}   0.0001
{txt}{space 11}(3 vs 2)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.88{col 49}{space 2}   0.0006
{txt}{space 11}(3 vs 2)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.92{col 49}{space 2}   0.0016
{txt}{space 11}(3 vs 2)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.87{col 49}{space 2}   0.0029
{txt}{space 11}(3 vs 2)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.40{col 49}{space 2}   0.0038
{txt}{space 11}(3 vs 2) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.35{col 49}{space 2}   0.0039
{txt}{space 11}(3 vs 2) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.67{col 49}{space 2}   0.0032
{txt}{space 11}(3 vs 2) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.33{col 49}{space 2}   0.0023
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 2)  1  {c |}{col 25}{res}{space 2}-.0167474{col 37}{space 2} .0033644{col 48}{space 5}-.0233415{col 62}{space 3}-.0101532
{txt}{space 11}(3 vs 2)  2  {c |}{col 25}{res}{space 2}-.0169333{col 37}{space 2} .0032571{col 48}{space 5} -.023317{col 62}{space 3}-.0105495
{txt}{space 11}(3 vs 2)  3  {c |}{col 25}{res}{space 2}-.0177238{col 37}{space 2}  .003242{col 48}{space 5}-.0240779{col 62}{space 3}-.0113696
{txt}{space 11}(3 vs 2)  4  {c |}{col 25}{res}{space 2}-.0184013{col 37}{space 2} .0039347{col 48}{space 5}-.0261131{col 62}{space 3}-.0106895
{txt}{space 11}(3 vs 2)  5  {c |}{col 25}{res}{space 2}-.0188367{col 37}{space 2} .0047907{col 48}{space 5}-.0282264{col 62}{space 3}-.0094471
{txt}{space 11}(3 vs 2)  6  {c |}{col 25}{res}{space 2}-.0190867{col 37}{space 2} .0055371{col 48}{space 5}-.0299392{col 62}{space 3}-.0082342
{txt}{space 11}(3 vs 2)  7  {c |}{col 25}{res}{space 2}-.0192078{col 37}{space 2} .0060985{col 48}{space 5}-.0311606{col 62}{space 3}-.0072549
{txt}{space 11}(3 vs 2)  8  {c |}{col 25}{res}{space 2}-.0192567{col 37}{space 2} .0064663{col 48}{space 5}-.0319304{col 62}{space 3}-.0065831
{txt}{space 11}(3 vs 2)  9  {c |}{col 25}{res}{space 2}-.0192902{col 37}{space 2} .0066571{col 48}{space 5}-.0323379{col 62}{space 3}-.0062426
{txt}{space 11}(3 vs 2) 10  {c |}{col 25}{res}{space 2}-.0193649{col 37}{space 2} .0067003{col 48}{space 5}-.0324972{col 62}{space 3}-.0062326
{txt}{space 11}(3 vs 2) 11  {c |}{col 25}{res}{space 2}-.0195374{col 37}{space 2} .0066337{col 48}{space 5}-.0325392{col 62}{space 3}-.0065355
{txt}{space 11}(3 vs 2) 12  {c |}{col 25}{res}{space 2}-.0198644{col 37}{space 2} .0065026{col 48}{space 5}-.0326092{col 62}{space 3}-.0071196
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative  - Prior Non-UIP Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE 6F{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Non-UIP Administrative{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL 6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6F.04-18-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6F.04-18-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model 6.FIGURE 6F.04-18-2025.gph} saved

{com}. 
. 
. 
. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Output\Implementation Delay.MANUSCRIPT MODELS.04-18-2025.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}19 Apr 2025, 20:37:23
{txt}{.-}
{smcl}
{txt}{sf}{ul off}